This shift comes at a decisive moment, preceding SAP Business Warehouse (BW) reaching the end of mainstream maintenance in 2027, with extended maintenance ending in 2030. SAP BW/4HANA remains supported until at least 2040, but the long-term direction is clear. If you’re running SAP today, you’re likely moving from primarily on-premises, centralized data warehousing toward a cloud-based, multi-service data architecture.

That change is structural, and structural changes introduce new operational realities. As you modernize your data landscape as part of a broader SAP Cloud ERP or SAP Cloud ERP Private journey in GROW with SAP or RISE with SAP, the goal isn’t just architectural alignment. It’s to accelerate transformation while keeping operating costs predictable and avoiding new layers of technical debt.

What fundamentally changes with SAP Business Data Cloud

In a traditional SAP BW landscape, most data warehousing functions lived inside one system boundary. Data extraction, transformation, modeling, scheduling and reporting were tightly coupled. Even in complex SAP ERP environments, there was a central anchor point for enterprise data.

SAP BDC operates differently. Instead of one primary platform, you’re working across a set of tightly integrated services on SAP BTP. SAP Datasphere, SAP Analytics Cloud , SAP BW and BW/4HANA, Databricks and Snowflake form a broader data fabric.

SAP Datasphere, evolving from SAP Data Warehouse Cloud and incorporating capabilities from SAP Data Intelligence Cloud, is positioned as the core enterprise data management platform. It integrates with SAP Analytics Cloud for analytics and planning, and with Databricks and Snowflake for data pipelines, advanced analytics and AI scenarios.

From a data perspective, integration is stronger than ever. Semantics, metadata and access across SAP systems are more aligned than in previous generations.

But integration isn’t orchestration. As your landscape expands across these services, you still need a way to coordinate how jobs, dependencies and business processes execute across them.

Where orchestration becomes operationally critical

In SAP BDC environments, each component has its own scheduler and automation capabilities. 

• SAP Datasphere runs replication flows and transformations
• Databricks executes machine learning pipelines
• Snowflake processes large-scale analytics workloads
• SAP Analytics Cloud refreshes dashboards and publishes stories
• SAP BW and BW/4HANA continue to run process chains

Individually, these systems work. The challenge appears when those jobs are part of a larger end-to-end business process.

Take a straightforward example. You run an extract, transform and load (ETL) or replication flow in SAP Datasphere. Once the data is updated and validated, you need to publish a new SAP Analytics Cloud story based on that refreshed dataset. Both steps can be scheduled locally. What connects them? What ensures the SAP Analytics Cloud publication only happens after the upstream process has completed successfully?

The same pattern applies if you’re using Databricks or Snowflake instead of SAP Datasphere. A machine learning or analytics job runs overnight. When it finishes, downstream reporting or operational updates need to be triggered. Each platform can manage its own workload, but the dependency between them isn’t governed unless you introduce orchestration across systems.

A second, equally common scenario is nightly batch processing across multiple services. You may schedule jobs independently inside SAP Datasphere, Databricks, Snowflake or SAP BW. Each executes reliably, but you don’t have a consolidated view of what’s happening across SAP BDC as a whole. There’s no single operational window into cross-platform execution, and understanding overall status may require reviewing several consoles.

That’s where orchestration extends the value of SAP BDC — by coordinating native schedulers and providing transparency across the ecosystem. It also reduces operational overhead. Instead of managing multiple schedulers, agents and custom scripts across environments, you establish a unified control layer that scales with your architecture. That’s particularly important in RISE with SAP environments with SAP Cloud ERP Private, where clean core principles discourage custom code inside the ERP and where unnecessary infrastructure adds cost and complexity.

The role of RunMyJobs in the SAP BDC era

RunMyJobs by Redwood provides that orchestration layer. It’s the only workload automation platform that’s both an SAP Endorsed App and included in the RISE with SAP reference architecture. RunMyJobs’ secure gateway connection to a customer’s RISE with SAP environment can be installed, hosted and managed by the SAP Enterprise Cloud Services team, eliminating the need for additional infrastructure and supporting clean core strategies from day one. Recognized as a Leader in the Gartner® Magic Quadrant™ for Service Orchestration and Automation Platforms, RunMyJobs centralizes scheduling, dependency management and monitoring across SAP and non-SAP systems.

For SAP BDC environments, RunMyJobs offers out-of-the-box connectors for:

• SAP Datasphere
• SAP Analytics Cloud
• SAP Business Warehouse
• Databricks
• Snowflake

Because RunMyJobs uses a secure gateway connection, very similar to how SAP Cloud Connector works, rather than requiring agents to be deployed across every SAP system, you avoid the operational costs and upgrade friction associated with agent-heavy architectures. That reduces maintenance effort, lowers total cost of ownership (TCO) and minimizes risk during SAP upgrades or RISE with SAP transformations.

In practice, you can:

• Trigger downstream analytics only after upstream data validation completes
• Coordinate nightly batch processes across multiple cloud services
• Establish a single pane of glass for visibility into SAP BDC execution

You don’t have to stop scheduling locally if that works for your teams, but by introducing an orchestration layer, you gain consistent control across the full landscape.

Supporting your path forward

There isn’t one correct response to the end of SAP BW mainstream maintenance. You may accelerate toward SAP Datasphere and a cloud-centric architecture. You may move selectively while continuing to run SAP BW/4HANA well into the next decade. Or, you may operate a hybrid model for years.

RunMyJobs supports all of the above, offering orchestration for classic SAP BW environments and all major components of SAP BDC. Whether you’re stabilizing existing SAP BW process chains or orchestrating new cloud-based workflows, the objective is the same: maintain control over execution across your environment.

You don’t have to complete a migration to benefit from orchestration. And you don’t have to abandon SAP BW to modernize your control layer. In fact, many organizations introduce orchestration early in their RISE with SAP and SAP Cloud ERP transformation to de-risk migration, retire legacy schedulers and create a scalable SaaS control tower before complexity compounds. That approach helps reduce disruption during go-live while positioning your automation strategy for long-term innovation.

A foundation for AI and advanced analytics

SAP BDC is also positioned as the foundation for enterprise AI and advanced analytics initiatives. Clean, harmonized data enables machine learning models and advanced analytics use cases.

But AI pipelines introduce additional operational dependencies. Training jobs, scoring runs, data refresh cycles and reporting updates must align across systems. As those chains grow, so does the need for consistent governance and monitoring. With RunMyJobs, the leading orchestration platform for the autonomous enterprise, you can apply consistent governance, monitoring and error handling across both traditional data warehousing processes and new, AI-driven workflows. That consistency is what turns experimentation into enterprise-grade transformation, without introducing new layers of manual oversight or operational costs.

See how RunMyJobs provides a coordination layer across SAP BTP, SAP BDC and your broader landscape:

Architect for control

As your SAP data landscape becomes more distributed across SAP BTP services, execution coordination becomes more important. Data integration continues to improve across SAP’s ecosystem. The next question is how you want those integrated systems to run together.

If you’re evaluating how to orchestrate SAP Datasphere, SAP Analytics Cloud, SAP BW, Databricks or Snowflake, particularly as part of a RISE with SAP and SAP Cloud ERP journey, the goal isn’t just coordination. It’s to modernize your execution layer in a way that supports clean core principles, reduces TCO and accelerates transformation across your enterprise.

The next step is practical: understand how orchestration connects to each of these platforms in your landscape.

Explore the full set of RunMyJobs SAP connectors and see how they extend SAP BTP and SAP BDC with enterprise-grade orchestration.

Applying clean core strategies reduces complexity by emphasizing configuration instead of customization. With less customized code buried in the ERP, updates install cleanly, integrations behave predictably and technical debt can be avoided as much as possible. It also shortens the time it takes to roll out new functionality and enhancements, so the system evolves in step with your business.

When clean core principles are paired with orchestration and side-by-side extensibility, your enterprise can handle complex operations without sacrificing flexibility or creating long-term maintenance issues.

What is an SAP clean core?

A clean core describes an SAP Cloud ERP or SAP S/4HANA on-premises environment that remains as close as possible to standard SAP. Enhancements are built externally using approved extensibility frameworks such as SAP Business Technology Platform (BTP). This keeps the foundation stable and cloud-ready while giving your teams room to innovate.

A clean core strategy enables consistent upgrades and simpler integration of new SAP and non-SAP capabilities. Guiding principles include:

• Relying on standard SAP functionality whenever possible
• Extending through platforms like SAP BTP
• Governing all custom development to maintain transparency
• Preserving compatibility across future SAP releases
• Allowing key user extensibility without altering core logic

ASUG calls clean core a foundation of agile ERP and business transformation. Standardization accelerates innovation, trims long-term maintenance and streamlines compliance while leaving room for business-specific differentiation.

At SAP Sapphire Orlando, SAP leaders reiterated that clean core is not optional anymore. It’s essentially a baseline for every modern ERP strategy.

The problem with customizations: Technical debt and inflexibility

Many long-standing SAP landscapes still rely on layers of custom ABAP code built to address one-off requirements. Over time, these changes pile up, forming a cluttered landscape of custom code. The further a system drifts from SAP standard, the more expensive, fragile and time-consuming every future change becomes.

Common consequences include:

• Upgrade delays: Each new release requires re-testing and re-work
• Higher total cost of ownership (TCO): Maintenance grows harder as custom logic ages
• Reduced adaptability: Connecting new technologies, such as AI or analytics, becomes more complicated
• Performance concerns: Additional code can slow processing and increase resource use
• Security exposure: Non-standard modifications introduce potential vulnerabilities

NTT DATA notes that once an ERP environment diverges from SAP standard, even minor upgrades demand heavy manual validation.

Reducing this dependency sits at the heart of the clean core approach. Externalizing logic and integrating through APIs rather than internal code changes restores agility and simplifies ongoing maintenance.

How future-ready orchestration enables clean core extensibility

Maintaining a clean core while still running large, interconnected business processes efficiently requires coordination. Orchestration is the answer.

Modern Service Orchestration and Automation Platforms (SOAPs) can link SAP and non-SAP systems without embedding logic in the ERP. They handle workflow sequencing, manage dependencies and automate handoffs across applications. Instead of writing isolated scripts, your IT teams gain a central control layer that unifies automation.

The advantages are practical:

• Streamlined integration through standardized APIs and connectors
• Faster response to business or process changes
• Less testing and regression effort with each upgrade
• Centralized visibility and stronger governance
• Consistent behavior across hybrid and multi-cloud landscapes

With orchestration managing process flow, the SAP core stays clean, upgrade-safe and easier to evolve. As a result, you reduce the technical debt that too often slows and, what’s worse, limits innovation in transformation projects.

Leveraging SAP BTP for extensibility

SAP BTP provides the official foundation for extensibility in SAP Cloud ERP. It lets your teams build, integrate and operate new applications that enhance functionality without altering core code.

As outlined in SAP’s ”Clean core extensibility” whitepaper, BTP supports upgrade-safe enhancements through ABAP Cloud, seamless integration via standard APIs, low-code application development with SAP Build and workflow automation, without modifying core ERP logic.

When orchestration platforms tie into BTP services, they can initiate workflows, move data securely and synchronize systems across cloud and on-premises environments. So, they keep the ERP core stable while allowing innovation where it’s needed most.

SAP BTP also supports a wide range of extensions and SAP Business Data Cloud (BDC), from analytics and planning to integration and data orchestration. Solution services like SAP Analytics Cloud (SAC), SAP Datasphere and Integration Suite help teams enhance functionality without modifying ERP code.

By automating the flow of data between S/4HANA, BTP services and analytics platforms, you avoid embedding custom logic or reporting scripts in the ERP. This approach keeps core processes standard and ensures upgrades remain predictable — even as your business intelligence needs grow.

Clean core in practice: RISE with SAP

RISE with SAP offers a managed path to SAP Cloud ERP that bundles software, infrastructure and services. Clean core methodology is fundamental to that journey.

Legacy customizations often complicate RISE migrations, introducing extra testing cycles and unplanned delays. Systems designed around clean core principles migrate more easily, adopt future releases sooner and need less remediation and oversight afterward.

Orchestration strengthens this model by automating the cross-system activities that typically require manual oversight, such as:

• Financial close and reporting
• Order management and fulfillment
• Supply chain coordination and demand planning
• Master data synchronization
• Billing and receivables management

➡️ As described in detail by SAP in this community post, RunMyJobs by Redwood is part of the RISE with SAP reference architecture and is, thus, SAP’s recommended solution. RunMyJobs managed services, delivered by the SAP ECS team, offer a compliant and lower-risk approach to modernizing job scheduling within a RISE environment. Rather than relying on OS-level scripts or unmanaged third-party agents installed without oversight and control on application servers, SAP ECS provides managed connectivity and oversight for RunMyJobs. This enables customers to execute OS-level workflows, including file transfers, in a standardized, cloud-compliant way.

Automating key business functions while keeping the core clean

Clean core methodology supports automation without compromise. By managing automation outside the ERP core ABAP code and integrating through APIs and other SAP-approved methods, you maintain system integrity while improving efficiency and accuracy.

Finance automation

Financial closing often involves repetitive manual steps that slow cycle times. Orchestration can handle reconciliations, journal entries and accruals automatically using SAP standard interfaces. Enterprises using Finance Automation by Redwood have reported significant time savings — in some cases up to 90% — across record-to-report processes. It allows you to execute these tasks externally, maintaining upgrade safety and compliance with clean core principles while supporting continuous, touchless close capabilities.

Data excellence and migration preparation

Migration success depends on both clean code and clean data. Archiving, validation and cleansing are essential to maintaining data quality and readiness for future releases.

Automation coordinates these steps end-to-end, optimizing accuracy and consistency throughout migration. It minimizes manual effort and reinforces data governance across the enterprise, supporting the same discipline that defines clean core strategy.

A foundation for future SAP innovation

Clean core is a commitment to long-term stability and adaptability. It simplifies upgrades, accelerates adoption of new SAP capabilities and creates a predictable base for innovation. As enterprises extend their automation and data strategies, BDC adds another layer of value by connecting data across applications and business processes. Together with SAP BTP, BDC helps you achieve end-to-end visibility without compromising clean core integrity.

Clean core extensibility lets organizations evolve through approved frameworks rather than custom modification. This design keeps systems agile and dependable over time.

Enterprises that follow clean core principles gain measurable advantages:

• Lower maintenance costs and effort
• Faster access to new SAP features and releases
• Greater agility to adjust as business priorities shift
• Improved reliability and system uptime
• Readiness for new SAP and third-party technologies

Strategic orchestration for clean core success

Sustaining a clean core across enterprise operations requires discipline and coordination. Modern orchestration platforms supply that structure, aligning automation and governance so processes run consistently while the ERP stays untouched.

Redwood Software has worked with SAP for more than two decades. RunMyJobs by Redwood is the only workload automation solution that is a Premium certified SAP Endorsed App. It uniquely supports SAP’s clean core strategy in cloud, on-premises and hybrid environments by eliminating custom code and workarounds.

By following SAP’s clean core framework and extending it through orchestration, you can keep your S/4HANA environment adaptable, reduce technical debt and ensure every new capability builds on a solid foundation.

Explore how a leading SOAP can future-proof your clean core strategy. Book a demo of RunMyJobs.

Forecasting and replenishment (F&R) works the same way. To the customer, it’s simple: the product they want is available where and when they want it. But what got it there was a full production involving forecasting systems, ERP, POS, purchase orders, distribution centers — each with their own scripts. 

Take the case of Target Canada. They had ambitious plans, shiny stores and plenty of product in stock. But backstage, systems weren’t talking to each other. Some shelves stayed empty while others were overstocked, and many customers walked out or didn’t show up at all. The two-year production bombed big-time, resulting in a multi-billion-dollar loss. “Ticket sales” didn’t even cover the cost of performances in this scenario.

Opening night: The performance customers see

F&R is the entire performance from the moment you draw the curtain back. It’s what the audience (your customers) experiences when they shop. Your forecasting engine is the lead actor, but it can’t carry the whole show alone. It depends on a cast:

• ERP systems handling orders and procurement
• POS systems sending daily sales signals
• Warehousing and logistics making sure the right props (products) land on stage
• Replenishment planning and allocation tools managing cues

If these players don’t work together well, the audience will see the mistakes: empty shelves, markdown bins and lost orders, to name a few.

Missed cues: Why supply chains go off script

Even seasoned companies misstep when the backstage crew isn’t in sync. In supply chain terms, that means F&R falls apart when the systems behind them aren’t connected or coordinated.

Take siloed systems, for example. ERP, POS and warehouse management each follow their own script, and none of them talk to each other. That disconnect means planners may not see when a promotion is running, when seasonality is driving spikes in demand or when external events disrupt supply. Without those inputs flowing cleanly into the forecast, replenishment planning quickly goes off track. It’s like three actors reciting different versions of the same play — it’s confusing, messy and painful to watch.

Manual workarounds are another sign of a shaky production. When planners resort to spreadsheets to patch gaps or re-sequence orders, it’s like stagehands rushing onto the set with duct tape mid-performance. The show goes on, but the cracks are obvious.

Rigid, batch-driven processes add another layer of risk. Imagine trying to run a live play using only rehearsed recordings. The story would fall flat the moment something unexpected happened. And the same goes for replenishment runs that can’t adapt when demand shifts suddenly, such as when there’s an unforeseen weather event.

Then there’s the lack of visibility. Without clear lines of sight into whether a job has started, finished or failed, supply chain leaders are left waiting to see if the actor will make their entrance. By the time they realize the cue was missed, the audience already knows.

The outcome of all these broken scenes? Outdated forecasts, replenishment delays, high carrying costs and frustrated customers who don’t come back after intermission.

The director’s chair: Keeping every scene in sync

An orchestration solution like RunMyJobs by Redwood acts as the director behind the curtain, ensuring every system, transaction and dependency plays its part. Think about the challenge of planning a holiday promotion: Forecasting modules may generate a strong demand forecast, but if order proposals don’t trigger on time or distribution centers can’t see accurate inventory levels, the campaign won’t be successful.

With RunMyJobs, order forecasts, replenishment planning, purchase orders and automatic replenishment proposals are kept in sync with demand planning and forecasting algorithms. That means safety stock calculations adjust automatically when seasonality spikes, promotions launch or future demand signals arrive from POS sales data. It also means master data issues are flagged and corrected before they cascade downstream.

This is true whether you’re running SAP F&R, IBP, Retail and Distribution Industry Solutions, MM, APO or connecting to non-SAP systems — RunMyJobs keeps the performance on track no matter the complexity of your tech stack. You’ll be able to respond faster to factors influencing demand, like promotions, pricing changes or unexpected stockouts, while reducing manual interventions. 

Orchestration transforms F&R from a fragile balancing act into a resilient, repeatable process that adapts to real-world conditions.

Standing ovation: Course-correcting with orchestration 

The value of orchestration in F&R shows up in the KPIs that matter most: gross margins, order fill rates and customer satisfaction.

Treat F&R like the production it is

In retail and distribution, forecasting and replenishment is mission-critical. It’s not a solo performance but an ensemble production that needs perfect timing, cues and orchestration. 

RunMyJobs provides the automation fabric that keeps your show running. Global retailers and distributors trust it to bring order to complexity and deliver consistent, applause-worthy results. 

Book a demo to see how RunMyJobs can optimize your F&R process end to end.

The problem is, “just working” isn’t the same as being ready for what’s coming next, especially if you care about SAP’s evolution and the massive role AI is playing. In a world where digital transformation now means becoming an intelligent enterprise built on real-time data, you can’t afford not to make use of the “best of the best” solutions.

Luckily, SAP gives us an easy way to determine which compatible solutions the company most strongly stands behind: SAP Endorsed App Premium certification.

SAP Endorsed App: More than just a badge

SAP Endorsed Apps aren’t ordinary partner solutions. This invitation-only program highlights solutions that help you with strategic business challenges not directly addressed by core SAP functionality. 

SAP Endorsed App status is the highest level of certification SAP offers, and it isn’t handed out lightly. It signals to customers that the solution has been extensively tested and validated to meet SAP’s highest standards for performance, security and integration.

Being an Endorsed App means a solution has been rigorously evaluated and passed SAP’s most demanding Premium certification standards. Every angle is tested to ensure the solution truly stands up to real-world enterprise demands, even in the most complex hybrid environments. Only solutions that are widely used by SAP customers, future-aligned and proven to deliver outstanding customer value earn this highest level of SAP trust.

SAP Endorsed App for workload automation

Taking advantage of SAP’s next-generation capabilities is particularly important when it comes to workload automation, the backbone of your mission-critical processes. SAP CEO Christian Klein envisions a world in which ERP, automation, data and AI all work together in one cohesive ecosystem. Your processes should run end to end, intelligently orchestrated rather than stitched together. If your automation layer isn’t deeply integrated and future-ready, it becomes an anchor dragging you down. And if your workload automation partner isn’t deeply aligned with SAP, you’re going to hit bottlenecks sooner than you think.

That’s why RunMyJobs by Redwood becoming a Premium certified SAP Endorsed App matters so much. You know your automation will be not just compatible but optimal, now and into the future.

Certified vs. optimal integration

Many job scheduling solutions are certified to connect to SAP systems, even RISE with SAP. And that’s good, but it’s only the first step. Basic certification means a scheduler has been tested to connect and perform standard tasks, but it doesn’t tell you how it integrates, what extra infrastructure you need or whether it supports a clean core without workarounds and fragile custom code.

It’s kind of like giving your teenager a learner’s permit. Sure, they’re legally allowed to drive, but would you hand them the keys and say, “Go ahead, take your friends to the basketball game tonight … and use the freeway”? Probably not. You know that true readiness involves more than basic certification. It’s about trust, experience and minimizing risk — for the driver and everyone else on the road.

RunMyJobs is the experienced, fully licensed driver: the only workload automation solution that is an SAP Endorsed App, Premium certified. Thus, it’s optimized to run in complex SAP landscapes, including RISE with SAP, Business Technology Platform (BTP) and Business Data Cloud (BDC). 

It’s not about whether your automation connects to SAP. It’s whether it truly unlocks SAP’s full value, without compromise.

True future-proofing: Not just a fancy marketing slogan

We all see “future-proof” plastered across marketing materials. But real future-proofing isn’t a tagline. It means what’s being offered is designed to evolve, not just function today.

With SAP Endorsed App status, RunMyJobs is verified to keep pace with SAP’s roadmap. There is a regular cadence for SAP and Redwood Software to collaborate and align product roadmaps. What you get from this: reduced risk, faster time-to-value and confidence that your automation engine won’t become the bottleneck when it’s time to embed AI into your core business processes. So when we talk about RunMyJobs being “future-proof,” we’re not throwing around empty words. 

Don’t run your business on a learner’s permit. You need a solution that’s been trained, tested and trusted to navigate the entire journey confidently, even if the road ahead is uncertain.

Watch the video below to learn more about what RunMyJobs’ SAP Endorsed App status means for your business.

See more about RunMyJobs in the SAP Store.

It’s a disconnect that’s quickly becoming unsustainable. While the pace of AI adoption is moving faster than other disruptive innovations, it simply won’t work if the rest of IT doesn’t catch up. And as SAP made clear at SAP Sapphire 2025, there’s no value in building AI on a shaky foundation.

The new mandate: Modernization beyond ERP

SAP’s strategy has evolved beyond ERP. SAP CEO Christian Klein says true transformation is now about incorporating the “flywheel” of applications, data and intelligence. The implication is that SAP Business Technology Platform (BTP), embedded AI and unified data models aren’t peripheral to the core — they are the core.

The explosion of SaaS tools hasn’t produced better outcomes. In his SAP Sapphire Orlando 2025 keynote, Klein noted that global productivity growth has slowed rather than accelerated because too many businesses are duct-taping together apps and automations without the foundation to make them work together.

The implication is clear: You can’t just modernize your ERP and call it a day. Supporting systems, especially those running behind the scenes, such as workload automation (WLA), must evolve in lockstep. Otherwise, you’re introducing friction into every cross-system process (and therefore, AI model) you run.

Old schedulers, new risks

Traditional job scheduling tools were built for a different era. They rely on locally installed software, custom scripts and fragile connections to coordinate batch jobs in static environments. They were never designed for real-time, intelligent processes across cloud-native applications and rapidly evolving AI models.

Sticking with these tools introduces unacceptable risks:

• Operational complexity from maintaining brittle, outdated architecture
• Technical debt from endless scripting and patchwork connectors
• Challenges with maintaining clean core principles
• Fragmented automation across SAP and non-SAP systems
• Inability to leverage SAP’s AI roadmap due to data silos and latency  
• Delayed time-to-value from SAP innovations

You can’t derive reliability and maximum value from AI if your job scheduler is stuck in the past.

Why AI fails without clean, timely data

It’s easy to think AI fails because the models are wrong. But in enterprise environments, the more common culprit is something far less glamorous: bad data. When job scheduling is not modernized, it can quickly become unreliable or disconnected and fail to feed AI systems with what they need to produce in-depth, accurate insights. When they deliver irrelevant or dated insights or hallucinations, it undermines trust in the intelligence you’re trying to deploy.

AI can’t magic its way past old and brittle plumbing that was already on the brink of needing replacement. Trying to update your kitchen or bathroom with fancy new showerheads and faucets with all kinds of bells and whistles may make it look nice, but the water that’s critical to its functioning may struggle to get there at the right time and temperature. A remodel will always require a certified inspection of the pipes and supporting foundation to ensure they work safely and reliably with the upgraded fixtures.

No workaround necessary: The modern approach to WLA

SAP has been loud and clear about the clean core mandate. What was once a push to keep ERP extensibility under control is now a requirement for AI readiness. SAP’s vision of a “fit-to-suite” architecture, where apps, data and automation are in harmony, can’t happen if your WLA layer brings discord into the mix.

Trying to keep your legacy scheduler working is like bringing a VHS tape to a Netflix pitch meeting. Sure, you might find a dusty adapter somewhere in the back closet, but you’ll be miles behind before you even press play. No amount of workarounds will make outdated technology compatible with a world that’s already streaming ahead.

Modernizing WLA for SAP and non-SAP processes means orchestrating every part of your business to be faster and more intelligent. It means having:

• Cloud-native SaaS that orchestrates processes across hybrid environments without additional infrastructure
• Frictionless architecture that provides a singular secure gateway to connect with every SAP and non-SAP application, reduces maintenance and eliminates failure points 
• Deep SAP integration that aligns with SAP product roadmaps and innovation strategies
• Pre-built templates and connectors to accelerate time-to-value without violating clean core
• Centralized orchestration for SAP and non-SAP processes from a single interface

Automation purpose-built for an SAP cloud and AI future

Redwood Software and SAP share a trusted partnership built on over 20 years of co-development, innovation and roadmap alignment, making RunMyJobs by Redwood a strategic extension that maximizes the ROI of your SAP investments.

What sets it apart?

• SAP Endorsed App, Premium certified: RunMyJobs reduces risk, accelerates time-to-value and offers long-term reliability to SAP customers. It’s certified across a broad range of SAP technologies, meeting SAP’s highest standards for performance, security and integration. It delivers native functionality and deep integration across complex hybrid and cloud deployments, with built-in, SAP-specific templates and connectors that eliminate custom code and scripting. This supports clean core strategies and helps customers solve critical business challenges more efficiently.
• The only WLA solution included in the RISE with SAP reference architecture: RunMyJobs is included in the RISE reference architecture through managed services offered and delivered by SAP Enterprise Cloud Services (ECS). ECS handles the direct installation and maintenance of the RunMyJobs’ secure gateway connection within your RISE landscape, eliminating the need for extra infrastructure, custom workarounds and friction in the RISE journey. You can also opt into additional ECS-managed services for enhanced monitoring of SAP processes automated with RunMyJobs, improving visibility and enabling proactive issue resolution.
• Co-innovation with SAP BTP and Business Data Cloud (BDC): Get the latest connectors for SAP Analytics Cloud, SAP Datasphere, SAP Integration Suite, Databricks and more.

Proof that AI-ready automation works

What defines AI-ready in the context of WLA? It’s more than speed and scale. 

Your processes are orchestrated, not just scheduled. You’re connecting tasks and dependencies across SAP and non-SAP environments using event-driven automation.

Governance is built in. You have visibility and control over every job and data flow, from development to execution to exception handling.

Business value is clear. Automation is no longer a backend utility but a strategic driver of innovation, efficiency and competitive advantage.

These elements have already been realized by companies that have modernized with RunMyJobs.

• RS Group, a global industrial distributor, modernized its legacy job scheduler as part of its digital transformation and supply chain operations improvement programs. The company now runs business operations across 26 global markets daily, maintaining job reliability above 99%, and have eliminated Priority 1 and Priority 2 incidents in critical operations for over a year.
• UBS, one of the world’s largest financial institutions, relied on RunMyJobs to replace a legacy scheduling solution that couldn’t scale with the complexity of its SAP environment. UBS transitioned to RunMyJobs for its cloud-native architecture and reliability. The company built a cleaner automation landscape, achieving faster recovery from exceptions and future-proofing its foundation to support advanced analytics and AI-powered compliance.
• Centric Brands, a leading lifestyle brand collective with a complex ecosystem of SAP and non-SAP systems, used RunMyJobs to consolidate multiple legacy scheduling tools and modernize its WLA. By eliminating manual job chains and replacing legacy scripts with standardized, centralized automation, Centric increased visibility across end-to-end processes and significantly reduced errors. Unifying orchestration improved operational efficiency and positioned Centric to adopt AI-driven forecasting and planning tools without needing to overhaul its backend infrastructure.

Rather than being a bolt-on scheduler, RunMyJobs builds automation fabrics that prepare your SAP environment for embedded AI and intelligent processes.

AI-ready businesses don’t wait

SAP’s future is already unfolding, and AI is at the center. But its effectiveness depends on the quality and timing of your automation. If your job scheduling can’t keep up, neither will your strategy. The decisions you make now will determine whether your organization will be ready to act on AI opportunities or stay stuck reacting due to technical limitations.

Modernizing your ERP isn’t enough. You need an orchestration layer that aligns with SAP’s direction, accelerates transformation and eliminates risk. RunMyJobs gives you that edge.

When your automation is fit-to-suite, your business is fit for the AI future. Explore how RunMyJobs future-proofs your SAP ecosystem.

AI was simply everywhere at this year’s events. From Christian Klein’s keynote to the show floor demos, it was the foundation of nearly every conversation. But beneath the buzzwords and bold visions, I noticed one question kept surfacing: How do you actually do it? How do you make AI actionable inside the day-to-day workings of an enterprise?

That’s the question we were thinking about at the Redwood Software booth and in our customer sessions and roundtables. It was fantastic to see the energy this year: standing-room-only demos, deep discussions with IT and business leaders and a steady stream of customers stopping by to share what they’re already doing with job scheduling, orchestration and workload automation (WLA). The excitement was real, but the deeper story was about who’s already rolling up their sleeves instead of just dreaming about digital transformation that actually realizes the value of AI.

Redwood was proud to be recognized for the second year in a row with the SAP Pinnacle Award in a category honoring innovative partners that provide economically relevant solutions, validating our ability to consistently drive high adoption and ROI for SAP customers. We also announced that RunMyJobs by Redwood is now an SAP Endorsed App, Premium certified — the highest level of SAP verification, indicating outstanding customer value. 

The best part? We’re not talking in hypotheticals. These milestones are a testament to the real-world outcomes our customers achieve when integrating with the latest SAP technologies, maximizing the value of their SAP investment. We saw that in full color in sessions and roundtable discussions with RS Group and others, whose teams shared striking results they’ve achieved using RunMyJobs. They haven’t been waiting for the AI wave. Instead, they’ve been preparing for it by modernizing their WLA. And it’s paying off.

We’re making business AI real as we drive digital transformations that help customers thrive in an increasingly unpredictable world. 

Christian Klein, CEO of SAP

Klein’s sentiment rang true throughout the event, especially his keynote theme: To thrive in an AI-powered world, it’s not enough to modernize ERP. Foundational processes, especially the ones running behind the scenes, must be intelligent, agile and orchestrated. WLA platforms like RunMyJobs are already doing the work of preparing SAP landscapes for AI by coordinating processes end to end, orchestrating the tasks that drive efficient data pipelines and ensuring the reliability that AI output depends on.

Redwood customers leading the charge

SAP made it clear: the future isn’t about cobbling together best-of-breed tools. It’s about building a smart, cohesive suite. That suite extends beyond core ERP to include the applications and automation fabrics that make an entire business run. Redwood customers are already there.

RunMyJobs isn’t a standalone job scheduler. It’s the connective tissue for automation fabrics across SAP and non-SAP systems, delivering the kind of real-time orchestration that complex, data-intensive environments demand. Redwood’s shared product vision with SAP is helping customers optimize operations to scale with AI. That alignment is also what earned RunMyJobs its SAP Endorsed App status.

We spotlighted compelling Redwood customer stories at SAP Sapphire this year, including the following.

RS Group: Transforming global supply chain operations for a demanding market

As a global industrial distributor, RS Group faces an unforgiving supply chain environment. Before RunMyJobs, they couldn’t even run business operations processing (BOP) daily for all 26 markets they serve. The complexity was enormous. They had to stagger market runs, which put customer promises, such as delivery timelines, at risk.

Using RunMyJobs to re-engineer processes and workstreams and optimize job logic, they now run BOP for all 26 markets daily. 

We now meet our promise to our business and customers. 

Dharmesh Patel, Head of SAP Development & Services, RS Group

But that was only the beginning. Previously, RS Group faced issues with poor monitoring, alerting and visibility, leading to frequent Priority 1 (P1) and Priority 2 (P2) incidents in critical operations like order processing and warehouse management. With RunMyJobs, they introduced custom alerting, rebuilt job frameworks and created a governance model for continuous improvement.

This isn’t just operational success. It’s setting the stage for AI readiness, because AI needs more than just access to data. It needs reliable, actionable data at the right time, integrated into the processes that power the business. RS Group is ready. When you run a global supply chain, “ready” isn’t a luxury.

Ready on day 1: How fit-to-suite automation prepares you for the AI future

The real takeaway from SAP Sapphire wasn’t that AI is coming. It’s that AI is already here, and the companies reaping the benefits are the ones that did the foundational work early. Redwood customers like RS Group have already modernized their WLA. They’re not bolting on AI. They’re ready for what’s happening now and what’s to come because their automation is fit-to-suite: deeply integrated, spanning SAP and non-SAP systems and built for scale and AI innovation.

RunMyJobs provides the automation fabrics enterprises need to orchestrate complex, cross-system workflows and support the data pipelines AI depends on. It connects SAP S/4HANA to the hybrid architectures, business process layers and related data AI needs to drive better, faster decisions and more efficient attainment of business outcomes.

When your business runs on well-managed, intelligent processes, you don’t just hope your AI strategy will work — you know it can.

An obvious and undeniable message of SAP Sapphire 2025? WLA modernization isn’t a side project. It’s a prerequisite. See how Redwood supports SAP customers in future-proofing their ecosystems.

This is apparent in recent headlines. For example, JPMorgan Chase has ambitiously invested in AI, building a team of over 2,000 AI experts and developing proprietary models to improve everything from fraud detection to investment advice. But the story underneath the surface is just as important. 

Bold bets can only be made from a solid foundation. Before any AI, analytics or digital transformation initiative can succeed, the data behind it must be clean, connected and controlled. Leading financial services firms recognize these initiatives can only deliver value when the data feeding them is complete, synchronized and auditable. 

In an environment where transactions span mainframes, SAP systems, cloud platforms and best-of-breed specialty tools, orchestrating data flows rather than just integrating endpoints becomes the competitive differentiator. Instead of adding more tools, you need to build better pipelines. Your filings, financial statements and liquidity metrics are too critical to allow stale, inconsistent and siloed data to inform them. 

The more orchestrated your data movement, the faster and safer your institution can move. Whether you manage $5 billion or $500 billion, orchestration supports financial close acceleration, real-time risk aggregation and ongoing compliance with evolving regulations.

And it’s achievable now.

The stakes are higher in finance

Whereas it would be a mere efficiency problem in some industries, data friction in financial services is a major business risk. When your systems operate in silos or on rigid schedules, you open the door to fines, missed cutoffs, extended close cycles, customer dissatisfaction and other negative outcomes.

Meanwhile, the AI and analytics platforms you’re investing in, from SAP Business Technology Platform (BTP) to Azure, Databricks and beyond, can’t deliver value if the pipelines feeding them are delayed, error-prone or unverifiable. Precision and timing are non-negotiable when you’re dealing with the precious numbers that impact the lives and livelihoods of your valued stakeholders.

From static pipelines to dynamic orchestration

Despite years of modernization efforts, many financial institutions have invested heavily in connecting systems via APIs, ETL pipelines or middleware. These integrations were a necessary step, as they enabled data movement between SAP S/4HANA, legacy mainframes, cloud data warehouses, CRMs and more. But whether data moves isn’t the question; it’s whether it moves correctly, completely and in sync with the events that drive your business.

Without considering this connectivity and complexity, you’ll lack event-driven control, data validation checkpoints, dependency management and real-time recovery, among other key capabilities. An intelligent orchestration layer addresses these gaps, especially if, like most financial operations, yours operates across a hybrid mix:

• SAP S/4HANA or SAP Central Finance
• Legacy mainframes for core banking or policy systems
• Cloud data warehouses and analytics platforms
• CRMs like Salesforce 
• Risk engines, actuarial systems, customer applications and partner ecosystems

It’s important to have a living nervous system connecting it all. A foundation that can monitor, react and adapt automatically across SAP and non-SAP systems will help you meet ballooning expectations brought about by AI, evolving regulations and more industry-specific factors.

True data pipeline enablement requires the ability to:

• Trigger workloads across SAP, cloud and legacy systems based on real events instead of static schedules
• Validate and sequence data automatically — delaying or rerouting jobs until quality gates are cleared
• Coordinate ML model execution tied directly to upstream data pipelines, whether scoring loans, recalculating provisions or updating liquidity forecasts
• Automatically log, track and retry processes to maintain auditability and meet SLA commitments
• Push structured, enriched datasets to SAP Analytics Cloud, Microsoft Power BI and other downstream consumers

Orchestration makes this possible. It doesn’t replace your SAP platforms, APIs, data lakes or CRM systems. It connects and governs the financial data flowing between them, automatically and intelligently. And AI and compliance-readiness depend on this very orchestration.

Building an efficient automation fabric around everyday financial processes

Your organization lives and dies by its ability to respond to change, and it all begins with having every dataset, account and rate positioned correctly from the outset. An automation fabric is the layer that connects and synchronizes your tools, data sources and processes across your IT environment, no matter how complex it is.

Setting your entire organization up for resilience begins with the first transaction of the day. Here’s what orchestrated start-of-day financial operations can look like with a secure, advanced workload automation platform as your control layer.

Ledger updates and overnight postings

• Finalize overnight processes — interest accruals, FX revaluations, journal entries — using SAP Financial Accounting (FI) and SAP Treasury and Risk Management (TRM)
• Validate completion of all wrap-up jobs
• Check dependencies and prevent downstream jobs if failures are detected

Balance reconciliation

• Trigger FF_5 to import bank statements
• Run matching logic and update general ledger balances
• Launch ML cash application processes in SAP Cash Application (Cash App)
• Automatically alert stakeholders about missing files and manage escalation workflows

Opening balances and cash positioning

• Refresh One Exposure hub with new data
• Load memo records and run liquidity forecasts in SAP Cash Management
• Pull FX rates, payment maturities and treasury forecasts from SAP TRM

Data loading for exchange rates and market data

• Import daily FX rates and market indices into SAP tables
• Validate values against prior-day data
• Alert treasury and risk teams of major discrepancies that could impact valuations or cash forecasts

Risk checks and exposure updates

• Run FX valuation jobs
• Generate treasury dashboards in SAP Analytics Cloud (SAC)
• Monitor for trading limit exceptions and notify teams automatically

System readiness and transaction processing enablement

• Execute standing instructions and direct debits in SAP Banking Services
• Generate payment proposals (e.g., F110, APM)
• Route for approvals via SAP Bank Communication Management (BCM) and transmit to banks
• Monitor acknowledgments and update One Exposure with outgoing flows

Every step is timestamped, validated and fully auditable, so you’re ready to operate at full speed from the first minute of the business day. Your firm can create resilient, auditable pipelines, reduce risk, enable AI and advanced analytics and scale cross-system processes without adding complexity or risk.

RunMyJobs ensures readiness across SAP FI, TRM, BCM and external systems while automatically triggering ETL pipelines once jobs complete and feeding analytics platforms like Databricks, SAC, Tableau or Power BI.

Harnessing the orchestrated advantage for hybrid environments

Financial institutions have long recognized the importance of data. However, the sheer volume, velocity and variety of financial data are exploding. Fueled by real-time event streams, the proliferation of APIs and embedded finance, plus an increasing reliance on AI-driven insights, the data landscape is becoming exponentially more complex.

The future demands a fundamentally different approach to managing this ever-growing tide. Intelligent automation and orchestration are essential for building a resilient foundation capable of handling the dynamic and interconnected nature of tomorrow’s financial operations. 

To navigate an expanding hybrid data landscape effectively, you must build a robust orchestration layer that ensures data integrity, auditability and observability across all systems.

Read more about how to get your data out of the modern-day maze.

Despite an optimized IT infrastructure and cloud environment, the simulation doesn’t start because the latest compound batch data hasn’t been validated in SAP. The experiment metadata is still siloed in spreadsheets, and the model can’t ingest incomplete or inconsistent values. In other words, the fluid connection required between systems isn’t there.

As you may well know if you work in this industry, this isn’t a hypothetical delay. Data readiness can’t be treated as a side task, although it too often is. In which case, it doesn’t matter how advanced an AI model you have. With regulatory pressures high, the cost of a subtle misalignment is steep.

Because this applies whether you’re simulating compounds, ensuring patient records are anonymized and audit-ready or forecasting inventory, critical processes break down when data stays disconnected. Leading healthcare and pharmaceutical organizations are attempting to solve this common problem by rethinking how data moves from SAP to ML platforms to analytics and back.

Life science’s parallel pipelines: Innovation and execution

In life sciences organizations like yours, innovation happens on two fronts. On one side, your R&D teams use AI and massive datasets to accelerate discovery. ML models in AWS SageMaker or Schrödinger Suite predict promising compound structures, while simulation platforms test toxicity and efficacy before running a single experiment.

On the other side, your clinical and supply chain teams ensure those discoveries reach patients safely and cost-effectively while following all compliance regulations. They manage everything from patient enrollment to cold chain logistics to regulatory filing, with each process powered by SAP supply chain and life sciences solutions and custom platforms.

These processes live in very different domains, but they share a common dependency: structured, timely, accurate data. And in too many organizations, that data still moves manually or asynchronously between systems.

Where the cracks appear 

When SAP data isn’t orchestrated, critical handoffs break down and molecular data must be manually pulled from SAP R&D Management to feed AI pipelines. Trial operations build forecasts on outdated enrollment data. Lab results live in one system and regulatory documentation in another, with no feedback loop. Business users wait on IT to reconcile siloed datasets and generate reports.

Drug discovery is increasingly computational, but that doesn’t mean the work is fully automated. Whether you’re managing experiments or kits, the pain is the same: unreliable flow, lost time and elevated risk. Without intelligent orchestration, pipelines either fall apart or deliver fragmented, stale information. This directly undermines the performance of AI models and introduces bias or neglects to provide key correlations. Essentially, you end up making decisions with outdated datasets — or worse, hallucinations. Predictive models built to accelerate discovery or optimize trial logistics can quickly fall out of compliance with data lineage and validation requirements.

Meanwhile, if you cling to these fragmented or manually stitched data pipelines, you face another growing disadvantage: You can’t match the speed of your competitors. Those who are investing in intelligent, adaptive data orchestration are moving faster while proving the trustworthiness of their AI-driven insights.

High-fidelity orchestration is the foundation of competitive agility and relevance in your industry.

Research, meet orchestration

Orchestration is what makes AI scale in R&D. Your SAP environment becomes the launchpad for faster, smarter research, enabling you to:

• Continuously extract experimental and batch data from SAP R&D Management and SAP Analytics Cloud 
• Send compound specs to AWS SageMaker or Schrödinger Suite for modeling
• Coordinate modeling jobs and return results to Databricks for consolidation
• Push insight summaries about ranked candiddates back into SAP
• Trigger alerts for research leads of successful outcomes or red flags and send validated results to SAP Datasphere

Clinical delivery, intelligently aligned

On the delivery side, timing is everything. Clinical trial operations depend on up-to-date patient enrollment data, trial protocols and inventory levels across distributed trial sites. If systems aren’t aligned, sites risk running out of supplies or holding expired stock.

With proper orchestration:

• Enrollment data from SAP Intelligent Clinical Supply Management flows into forecasting tools
• ML models in Azure ML or Databricks predict site-specific demand
• Stock levels in SAP Integrated Business Planning (IBP) or S/4HANA Materials Management (MM) are cross-checked automatically
• If risk is flagged, replenishment is triggered and stakeholders are notified
• Trial performance metrics update automatically in SAP Analytics Cloud
• All data is centralized in SAP Business Data Cloud (BDC) for regulatory compliance and real-time insight

A research-to-treatment automation fabric

True transformation comes when discovery and delivery are both orchestrated from end to end. Here’s what a real automation fabric looks like.

Forecasting clinical and manufacturing needs

• Export enrollment or order data from SAP S/4HANA
• Clean and enrich using SAP Datasphere
• Run predictive models via Databricks, Azure ML or SageMaker
• Feed outputs into SAP IBP for dynamic planning

Managing research and validation 

• Extract compound data from SAP R&D Management
• Coordinate modeling jobs in Schrödinger Suite
• Score and validate candidates in Databricks
• Trigger SAP updates and notify research teams automatically

Controlling inventory and site logistics

• Pull inventory positions from S/4HANA
• Reconcile with forecasted site needs from SAP IBP and ML pipelines
• Generate and dispatch replenishment orders
• Publish everything in SAP Analytics Cloud for transparency

Keeping teams informed and aligned

• Push alerts to supply, clinical or research leads based on process outcomes
• Route structured datasets to reporting dashboards and compliance archives
• Automate audit trails, approvals and next-step triggers

With every step validated, timestamped and secure thanks to RunMyJobs by Redwood, your data flows continuously, allowing you to be proactive instead of reactive.

Audit-ready AI depends on orchestrated data

The rise of AI in life sciences is helping to optimize molecule screening and clinical trial site selection and even personalize patient communications. With that power comes increasing scrutiny.

Regulators are watching closely. Health authorities in the United States, European Union and beyond are issuing new guidelines around AI in clinical decision-making, digital therapeutics and research applications. They want to know: Where did the data come from? Was it anonymized? Who validated it? And can you prove it?

If your data pipelines are fragmented, those answers may simply not exist. But orchestration changes that. When you automate your data moving from SAP modules to Azure ML or from SAP Datasphere to regulatory systems, you also create a system of record. Every dataset has a timestamp, and every transformation is traceable. This strategically enables AI innovation.

The next wave of advancement will hinge on more than modeling accuracy; you’ll need to be able to explain how your model was built or prove the integrity of the data behind it. With the right orchestration solution, you don’t have to choose between speed and control. You can stay audit-ready and future-ready.

Develop a resilient nervous system

Think of your systems like organs. Each one serves a distinct purpose, but they communicate via signals that travel through connective tissue. These signals are orchestration in action!

Want to know more about orchestrating SAP data with RunMyJobs? Read more about using the SAP Analytics Cloud connector.

Analytics power nearly every strategic business decision, but only when they’re delivered in context, on time and aligned with the end-to-end processes and stakeholders they’re meant to inform. That’s why forward-looking insights are no longer optional.

Whether you need to spot cash flow risks before they affect liquidity, adjust production plans before disruptions ripple downstream or re-forecast inventory before you notice a sales dip, your ability to predict and respond depends on analytics that move with your operations.

SAP Analytics Cloud (SAC) was built for exactly this kind of intelligent analysis, forecasting and agile planning. It brings together business intelligence, planning and predictive analytics in one place so you can always know where you stand and model future scenarios to be ready for what’s coming instead of what has just occurred.

But insights alone don’t create outcomes. Unless they’re integrated into an operational process, even the most advanced insights can’t drive impact. Worst case, they could guide you to wrong decisions and negative consequences.

The hidden liability of siloed analytics

Even in a powerful, cloud-based platform, analytics can still fall out of step with the business. Your systems might be automatically refreshing and publishing dashboards or verifying outputs, but if they’re doing so while disconnected from your end-to-end processes, you won’t be able to apply these outputs meaningfully to your role.

You shouldn’t have to wonder whether your numbers reflect just a small snapshot of what’s happening or the full sequence of updates across systems. That uncertainty chips away at trust, and it’s more than frustrating. It’s costly.

Take a high-stakes industry like manufacturing, in which a day-old production forecast can misalign plant operations with actual demand. Or healthcare, where even brief gaps in staffing or patient volume data can impact care and compliance. Siloed analytics workflows aren’t useful or timely in supporting complex, mission-critical processes that need to run continuously.

SAP Analytics Cloud: Built for insights, ready for orchestration

SAC is already a strategic hub for business insights. It connects natively to SAP S/4HANA, SAP Datasphere, SAP BusinessObjects and Databricks. It helps unify planning and analysis across departments and roles. But what transforms SAC from a great tool into an essential one is where it fits in the big picture of your business.

Think about it this way: SAC tells you what’s happening or what’s about to happen. It can publish dashboards and refresh models on a schedule, but to act on those insights in time, you need analytics to match the continuous rhythm of your operations instead of sitting still. 

Orchestration with an advanced workload automation platform can embed those steps inside complex, multi-step job chains that include dozens of tasks, from ETL and ERP updates to file transfers, reconciliations, condition checks or even alert triggers. Reports can be triggered by events, conditions or thresholds from within SAP or external systems, then distributed, published or escalated based on logic.

Instead of standalone data, you get analytics in motion. What does this look like in the real world?

• A multi-step financial close process automatically refreshes and publishes the appropriate dashboards at each stage as part of the normal process chain of the closing cycle — without needing to be managed in a separate analytics workstream
• A disruption in supply chain data from SAP S/4HANA or SAP Datasphere triggers a refresh of demand forecast models in SAC as part of your continuous supply chain processes
• Executive dashboards are scheduled within a larger workstream to update nightly and adjust to special schedules around holidays, peak seasons or system maintenance windows

These reports don’t stay isolated. They’re embedded in your broader business workflows and reacting to real-world conditions. In other words, they align with your operational priorities.

What full automation delivers

With SAC jobs built into your end-to-end business processes, you see the value compound across your organization.

There won’t be a need for separate analytics workstreams anymore. Dashboards and models, connected to your end-to-end processes, will update based on the logic you define at the cadence your business needs.

Analytics will follow the pace of your business, not the other way around. That means your leadership team can get ahead of issues and make proactive decisions. Everyone will see the same numbers, which are built on the same trusted foundation.

Instead of ad-hoc report refreshes or support tickets, your analytics will run as part of a monitored, auditable job chain, giving your key stakeholders insights as they happen in the everyday flow of business.

Ultimately, you’ll be automating business readiness — not just accurate or timely reporting.

Making insights flow: SAP Analytics Cloud + RunMyJobs by Redwood

The new RunMyJobs connector for SAP Analytics Cloud makes it easy to orchestrate your analytics processes within broader, mission-critical job chains without adding complexity or rework.

With the connector, you can:

• Include SAC alongside ETL jobs, S/4HANA transactions, file transfers or external alerts
• Monitor your analytics within each complete job chain from a single pane of glass
• Refresh and publish reports automatically as tasks in end-to-end process rather than siloed triggers
• Tie analytics tasks to business events, conditions or schedules from SAP and non-SAP systems

There’s no need to replace SAC’s native scheduling functionality. With RunMyJobs, you elevate its capabilities by embedding them into more complex and interdependent processes. SAC gives you top-notch insight, and RunMyJobs makes sure it’s delivered at the tempo you need and as part of the complete picture.

Know what’s happening and be ready to act on it. Explore more about how to orchestrate your SAP data pipelines with RunMyJobs.

It means usage is spiking across the grid. Smart meters are flooding in data every 15 minutes, or faster. Restoration events from a recent storm haven’t fully cleared, and your billing engine is about to get overloaded. You know that if even one upstream dataset is missing or incorrect, your rates won’t calculate properly. And if you don’t hit billing SLAs, your call centers will be overwhelmed due to frustrated customers, cash flow will take a hit and revenue recognition will fall days or weeks behind.

In this moment, what matters isn’t just the data you’re collecting but how efficiently and cleanly it moves through your systems, from AMI and CRM to SAP Industry Solution for Utilities (IS-U) and billing. That’s why data orchestration isn’t a luxury. When the weather shifts, your systems have to shift with it automatically.

Data handoff: The origins of bottlenecks in utility billing pipelines 

The journey from meter to money sounds simple on paper: collect usage data, calculate the bill, send the invoice and match it against incoming customer payments. But anyone working behind the scenes knows it’s far more complex. Between raw data and revenue is a sprawling digital ecosystem that spans:

• Smart meters and AMI platforms 
• Distribution systems that track service status, outages and restoration events
• CRM and customer service tools
• SAP IS-U or SAP S/4HANA environments that handle contracts, rate logic, billing and cash application
• Regulatory platforms and reporting systems

Each system excels at its job, but without frictionless orchestration, the handoffs between them are prone to failure. If meter data arrives late or out of sequence, you’re forced to estimate usage. If a service status update doesn’t land on time, billing logic may misfire. And if downstream systems don’t receive validated, structured consumption data, bills can’t go out.

Common consequences include inaccurate or estimated billing, SLA violations, delayed revenue recognition, failed compliance reporting, cash flow shortfalls and surging call volumes from disgruntled customers. Thus, it’s not just the billing team that feels it. When meter data is delayed or incomplete, every part of your operation experiences the fallout: Customer Service, Finance, Compliance and other departments. 

A system that only works when nothing changes won’t cut it in an industry where change is constant.

Orchestration over integration

To build resilience, many utilities are investing in smarter, more connected data ecosystems. Platforms like SAP Business Data Cloud, which combines the power of SAP Datasphere, SAP Analytics Cloud and Databricks, make it easier to layer analytics and AI on top of operational consumption data. But the value of those platforms depends entirely on the quality, timing, structure and completeness of the data they receive.

Connection alone can’t guarantee this data will always be right and show up when and where it needs to. A modern automation fabric, a high-fidelity method of controlling and monitoring your data across SAP and non-SAP systems, validates each task and activity required to move data through each step of the pipeline and routes it to the right destination. It only triggers the next process when quality and other key thresholds are met.

Build your M2C automation fabric

Your billing pipeline can only move as fast as your data pipeline does. An automation fabric carries your data on an effortless journey from the first smart meter reading to the final bill.

Here’s what a unified, orchestrated utility billing pipeline can look like.

Usage data ingestion and validation

• Ingest raw meter data from AMI systems and IoT platforms
• Estimate consumption where smart meter reads are missing, using SAP IS-U meter reading logic
• Use tools like Databricks or Azure Synapse to pre-process high-volume raw readings and identify anomalies
• Trigger alerts if data doesn’t meet billing quality thresholds
• Send validated readings to SAP Datasphere for context-aware enrichment

Transformation and billing preparation

• Trigger mass activity billing document creation via SAP IS-U
• Trigger SAP IS-U to generate usage records, apply pricing and finalize billing logic with SAP Financial Contract Accounting (FI-CA)
• Ensure all required meter data and service status information is available before SAP billing runs start
• Standardize formats and units across devices, systems and regions
• Load cleaned datasets into SAP IS-U or S/4HANA and apply rate structures and SAP FI-CA contract logic

Bank clearing and revenue processing

• Execute SAP IS-U bank clearing by applying clearing locks, posting incoming payments and cash receipts and processing prepaid invoicing and credit card transactions
• Initiate billing cycles in SAP only after the prerequisite datasets are verified and complete
• Use event-driven orchestration to delay or reroute processes when exceptions are flagged
• Automatically generate audit trails and trigger alerts for missing, duplicated or stale data
• Route usage summaries and cost breakdowns to SAP Analytics Cloud, Power BI or Databricks for reporting and forecasting

Downstream system and stakeholder updates

• Feed final billing and payment data to SAP Analytics Cloud and Databricks for forecasting and reporting
• Feed structured data into SAP Datasphere and cloud storage for compliance reporting and AI model training
• Push finalized consumption and billing data to SAP FI-CA and S/4HANA for cash application
• Notify customer service teams of exceptions or late accounts via CRM updates before customers call in

When your data is orchestrated with this level of fidelity, your utility company becomes more agile and competitive. Faster billing cycles, fewer disputes and more accurate forecasts translate into better customer experiences and stronger financial outcomes.

Bonus: Powering grid modernization

The same orchestration fabric that streamlines your billing operations can also unlock faster, more accurate decision-making for your capital grid projects. Whether you’re expanding substation capacity or reinforcing the grid in anticipation of extreme weather, the ability to ingest and align data from multiple sources is critical.

Grid investments require input from asset condition data, load forecasts, GIS platforms, outage logs, customer growth models and more. Orchestration helps unify those sources and validate data quality in real time, so planning and forecasting are always based on the most current and accurate inputs.

RunMyJobs can coordinate data management across SAP, GIS systems, project management tools and platforms like SAP Datasphere and Databricks to:

• Prioritize capital spend based on risk modeling
• Synchronize rate impact data with financial planning and regulatory reporting tools
• Route updated procurement or contractor schedules to SAP S/4HANA or project accounting and management models
• Feed structured data into dashboards and AI models for stakeholder transparency and “what-if” scenario modeling

As electrification demands surge from new demands like electric vehicles and AI-powered data centers, utilities need more than project plans. They need dynamic data pipelines that drive fast responses and grid resilience.

Your systems, in sync

RunMyJobs isn’t another system you have to bolt on. It’s a full orchestration platform purpose-built for SAP environments and particularly effective in highly regulated industries. Whether you’re using SAP IS-U, S/4HANA or hybrid systems, RunMyJobs can precisely coordinate your end-to-end data pipelines without adding overhead or risk.

Already a RunMyJobs customer? Download our pre-built M2C workflow template to accelerate your billing transformation.

Planning to attend SAP Sapphire Madrid 2025? Stop by booth #10.332 to see how utility providers are making the switch from fragmented data flows to end-to-end orchestration.

Despite significant investments in automation and AI, many organizations are still held back by siloed, piecemeal automations that create disconnected and inconsistent data pipelines. These approaches lack the fluidity to fuel AI-driven insights and require too much manual intervention.  Without a unified orchestration layer, efforts to build a scalable, responsive automation fabric hinder competitiveness and complicate transformation.

If your organization is forward-thinking, you’re embracing SAP S/4HANA, cloud analytics platforms and AI modeling to accelerate operations, reduce delays and adapt to rapid shifts in demand. But to extract the most value from these investments, you need more than endless integrations tied together haphazardly. 

You need an enterprise platform orchestrator: a high-fidelity orchestration engine that composes, controls and monitors automations across diverse systems. It enables precision execution of end-to-end processes across hybrid environments. All components of your tech stack operate in concert. 

Your intelligent enterprise automation strategy demands integrated orchestration across systems, data and processes to drive continuous innovation and resilience.

What happens when data moves too slowly — or not at all

Take the example of a global electronics manufacturer producing components for medical devices. Their assembly lines depend on just-in-time delivery of microcontrollers (MCUs), PCBs and specialized sensors. Shipments arrive in mixed formats, such as EDI feeds, CSV files and emailed spreadsheets, often on unpredictable schedules.

Without a coordinated schedule or event-based workflow, planners manually load supplier datasets into SAP S/4HANA or wait for nightly updates from a production database. That delay alone can lead to:

• Incorrect delivery forecasts
• Production runs scheduled based on outdated or incomplete material availability data
• Dashboards that show planned output without factoring in actual part shortages or late supplier updates
• Downtime due to missing or late components
• Costly last-minute procurement changes

If you’ve been there, you know the result: operational inefficiencies, ineffective decision-making and diminished overall equipment effectiveness (OEE).

A hybrid architecture requires a coordinated approach

Manufacturers embracing Industry 4.0 are investing in hybrid architectures and offerings like SAP Business Data Cloud, which unifies SAP Datasphere, SAP Analytics Cloud and Databricks, to combine data and AI for better decision-making and lower total cost of ownership (TCO). These platforms are powerful but only as effective as the pipelines feeding them.

Without reliable data movement, even the most advanced platforms underdeliver. If SAP Datasphere isn’t receiving clean, timely data, your analytics lose context. If Databricks or Azure Synapse don’t have access to the latest inputs, your AI models won’t reflect what’s really happening on the shop floor, hallucinating the output instead. And without orchestration, your planning, scheduling and reporting systems fall out of sync.

An automation fabric coordinates data collection, validation, enrichment, transfer, sharing and action across your manufacturing data landscape in real time. 

What modern, SAP-connected orchestration looks like

With event-driven, orchestrated workflows, your team can:

• Ingest supplier delivery updates instantly into SAP S/4HANA
• Validate and normalize part numbers, revision levels and order quantities
• Reduce production delays and quality issues caused by incorrect part numbers, outdated BOMs or mismatched supplier data — no more manual corrections mid-shift
• Automatically reschedule dependent production orders and notify planners
• Monitor for unexpected data issues and trigger alerts when data masking, formatting or validation fails
• Send production data to SAP Datasphere for modeling and enrichment
• Push cleaned datasets to Azure Synapse, Databricks or your data lake for AI/ML
• Use tools like SAP Analytics Cloud, Power BI or Tableau for real-time dashboards

From static reporting to real-time action

When processes are orchestrated properly, your production planners don’t wait for nightly refreshes. They work from real-time data on inbound logistics, material availability and work-in-progress status. They’re notified instantly when delivery schedules change or sensitive information like product specs don’t match the expected format.

And because data moves securely between systems, including staging in test environments and support for data masking where personally identifiable information is involved, your teams can trust what they’re looking at and make data-driven decisions faster. And when the global picture shifts — due to supply chain disruptions, tariffs or new regulations — orchestrated data pipelines help you reprice, reforecast and realign production schedules with agility.

Your team experiences quicker changeovers and optimized production runs and can access dashboards that reflect actual operational data and an accurate balance of demand vs. capacity rather than assumptions. You need far less manual intervention in both the production and test environments, and you’ll improve data governance across all production datasets. All of this gives you stronger support for audit-readiness and regulatory compliance (including for government agencies).

See it in action: Hear from Energizer’s Business Systems Analyst how they ensured on-time delivery and reduced risk by optimizing their production planning using RunMyJobs by Redwood.

Build your plan-to-produce automation fabric

Building a connected automation fabric means more than just linking systems together. It means designing workflows that support smarter decisions, from material forecasts to machine-level execution, by delivering the right data to the right systems at the right time. This level of control becomes especially critical when the external environment shifts, affecting your sourcing, pricing or production.

Here’s how these orchestrated workflows take shape.

Demand forecasting

1. Export historical ERP data from SAP S/4HANA into SAP Datasphere for enrichment and transformation
2. Analyze demand trends using Azure Synapse, Databricks or your preferred data warehouse
3. Transform and load clean datasets into SAP IBP for demand planning and forecast modeling
4. Trigger workflow steps to notify key teams (e.g., sales, supply chain, production planning)
5. Automatically generate planning orders or proposals based on the updated forecast

Capacity planning

1. Calculate available machine and labor capacity using real-time data from SAP S/4HANA and connected MES and IoT systems
2. Run simulations in SAP Integrated Business Planning (IBP) to evaluate potential bottlenecks
3. Identify constraints and trigger automated alerts for planners to review or allocate resources
4. Push approved capacity plans downstream to support accurate materials and production scheduling

Materials resource planning (MRP)

1. Trigger a real-time inventory check and MRP run in SAP S/4HANA
2. Perform BOM calculations based on demand forecasts and order volumes
3. Launch a planning run that automatically determines material needs and timelines
4. Push results to SAP Datasphere for consolidation and enrichment
5. Feed updated datasets into SAP IBP to optimize production and procurement schedules

Production scheduling

1. Generate and dispatch production work orders in SAP S/4HANA
2. Assign machines, labor and tools based on live capacity data from connected systems
3. Integrate with SAP Manufacturing Execution (ME) or a third-party app for predictive scheduling and performance analysis

Shop floor operations

1. Track production progress and completion status in real time
2. Pull quality control results into centralized logs for data validation and reporting
3. Surface KPIs through SAP Analytics Cloud or Power BI dashboards for immediate insights

Updating stakeholders and systems

1. Automatically email warehouse teams with updated pick/pack instructions
2. Notify sales teams of expected delivery dates and inventory availability via Salesforce
3. Route relevant datasets to the data lake or warehouse for broader analytics or governance initiatives

Ready to orchestrate?

Already using RunMyJobs for your critical manufacturing processes? Download this convenient plan-to-produce workflow template to optimize further. 

Want to know more about orchestrating SAP data with RunMyJobs? Read more about using the SAP Analytics Cloud connector.

That control translated into speed, agility and accuracy — attributes retail supply chains desperately need, especially today. Apple had end-to-end visibility over its production pipeline, and the result was a supply chain that could handle demand spikes and disruptions alike, without compromising quality.

What if you could apply the same mindset Cook used to optimize Apple’s supply chain to your data? Instead of waiting and reacting, you could respond to change as it happens.

If your data sources are fragmented, refresh on schedules that don’t take current or relevant events into account or depend on manual intervention, you’re not able to resolve problems or confidently make decisions, and the shift to proactive methods won’t be possible. But with continuous orchestration of your most valuable digital asset, you can win in an industry where most companies are merely fighting to uphold razor-thin margins by avoiding spoilage, waste and lost revenue.

Perishable profits

Consider the most direct example of waste potential in the retail space: grocery. Fresh retail items don’t just sell quickly; they expire quickly. Between the farm and the fridge, there’s a complex, fragile chain of vendors, distribution centers and stores.

The smallest delay in your data pipeline is a chance for product to go unsold, unstocked or wasted. The shelf life of perishable goods is short, and demand can shift hourly. If your inventory forecasts are built on delayed or inconsistent data, the results can swing in either direction: Overorder and waste inventory or understock and miss sales. Either direction is costly. 

To prevent these outcomes, you need real-time visibility into what’s arriving and what’s already on your shelves. Plus, what’s moving fastest. Since you have to stitch together a view of field data, supplier inputs, distribution center updates and data from POS and other systems, you must have orchestrated, intelligent data pipelines.

That’s why more retailers are adopting modern data management architectures via offerings like SAP Business Data Cloud, which brings together SAP Datasphere, SAP Analytics Cloud and Databricks to unify data and AI-driven insights. But these platforms can’t work in isolation. They require clean, orchestrated tasks, steps, activities and transfer across an IT landscape to generate the relevant, quality data necessary to inform daily decisions.

Why retail data spoils

Unfortunately, it’s common in retail to know what needs to happen but be stuck in reactivity mode because your data is stale or simply late.

You might have a perfectly calibrated model in SAP Integrated Business Planning (IBP), but if it’s pulling incomplete or old data, there’s no chance it reflects your real replenishment needs. You may receive vendor data in flat files, but if they have to be manually validated and uploaded, your cycle slows down. Or maybe you have all the right tools, but your pricing team and planners aren’t seeing the same information in the same format at the same time.

This is the hidden challenge of retail: achieving consistency and speed at scale. When your supply chain spans multiple regions and partners, minor data issues amplify quickly. 

See how global retail collective Centric Brands achieved end-to-end visibility and control across its complex SAP environment and a variety of non-SAP systems.

Keep your data flows from expiring: The automation fabric way

A resilient supply chain for fresh goods runs on fresh data across your SAP and non-SAP systems. You must continuously collect, transform, enrich and act on it without delay. A mere technical upgrade won’t do, either. You have to build a foundation for repeatable execution.

On a high level, that might look like:

• Ingesting real-time inventory and shipment data directly into your SAP S/4HANA systems from farms, warehouses and distribution centers
• Using tools like Informatica Cloud to extract and transform data from external sources, including environmental sensors for temperature, humidity and shelf life
• Feeding POS data to SAP IBP to do short-term forecasting using recent demand patterns
• Normalizing data formats and units across suppliers and geographies automatically
• Triggering dynamic adjustments in SAP, like store delivery windows or pricing recommendations, based on updated transit times, spoilage risk or demand spikes
• Alerting supply chain planners the moment a shipment is delayed or a product batch falls below freshness thresholds
• Routing enriched data into SAP Datasphere, then feed it to Microsoft Power BI or SAP Analytics Cloud for real-time inventory and margin analysis

How do you bring all of this together in a way that’s scalable and automated? 

Build your forecasting-and-replenishment (F&R) automation fabric

An automation fabric is a cohesive framework that connects and monitors your applications, processes and data sources with zero friction. What sets this approach apart from individually integrated point solutions is its ability to control data movement with a high degree of autonomy. Instead of waiting on rigid schedules or scrambling to react to delays, you can operate with precision. 

Think of it as air traffic control for your data. It monitors every source and route to make sure nothing arrives late, out of order or without clearance. That level of control gives you agility that’s unmatched in retail.

Processing incoming data

• Load daily sales data from SAP POSDM or your POS platform into SAP IBP
• Validate and post documents in SAP S/4HANA for reconciliation and further processing
• Import promotional updates and sales uplift data from SAP IBP or third-party campaign tools
• Trigger structured data exports to SAP Datasphere for enrichment and modeling

Nightly forecasting and replenishment cycles

• Full forecasting and replenishment
  • Stage datasets from SAP S/4HANA and external systems (e.g., supplier APIs) and validate readiness 
  • Generate promotional impact estimates using SAP F&R, enriched with Databricks or Azure ML
  • Wait for inbound shipment confirmations, trigger replenishment calculations and create and dispatch pick orders to warehouses or store distribution systems
• Processing negative stock
  • Identify and count negative inventory positions from SAP S/4HANA and store systems
  • Create physical inventory documents (PIDs) to trigger reconciliation and downstream updates

Planning and reporting system updates

• Push refreshed stock and forecast data into SAP IBP for next-day planning
• Enrich and route datasets to SAP Datasphere and Microsoft Power BI or SAP Analytics Cloud for visualization
• Notify supply chain teams and store planners of updates via email or workflow triggers
• Log and monitor every job to meet SLAs for stock updates, pick orders and forecast refreshes 

Your competitive advantage: Orchestration that delivers

Already using RunMyJobs in your retail environment? Download this forecasting-and-replenishment workflow template to move faster while maintaining accuracy and quality.

Want to know more about orchestrating SAP data with RunMyJobs? Read more about using the SAP Analytics Cloud connector.

As the Field CTO for Managed File Transfer (MFT) at Redwood, and with our leadership in workload automation (WLA) through RunMyJobs by Redwood, I see firsthand the opportunities RISE unlocks — and the architectural considerations that follow.

One of the most critical, yet often overlooked, shifts? How file movement is handled in RISE.

The clean core brings new rules for file exchange

Most enterprises adopting RISE are modernizing from highly customized, often decades-old SAP environments. These landscapes typically include:

• Multiple ERPs, CRM and legacy systems of record
• OS-level scripts, direct database writes and mounted network shares
• Hundreds of file-based integrations with internal teams and external partners

These legacy approaches depend heavily on infrastructure-level access. But in a RISE architecture, those access models change. SAP clearly defines this shift:

In the SAP S/4HANA Private Cloud environment, direct server access is unavailable.

SAP Community Blog: Proposed Architecture for File Transfer

In short, file transfers must now align with strict ingress and egress controls, with no OS-level jobs or mounted file systems permitted.

This shift creates architectural friction that legacy models can’t easily resolve. What worked for file movement in the past may not translate to a clean core, cloud-first model — especially in hybrid enterprise environments.

SAP BTP and high-volume file transfers

While SAP’s Integration Suite (part of SAP Business Technology Platform (BTP)) can manage file transfers through Cloud Integration flows, it was not designed to serve customers who have a need for a dedicated, large-scale MFT hub. There is a whole industry of MFT solution providers who address this common need for enterprises.

SAP experts acknowledge that files larger than ~400 MB can pose challenges. Streaming, while supported, may still lead to timeouts, memory strain or complex workaround flows in real-world conditions, according to the SAP Community.

Routing thousands of files daily through a multi-tenant integration service can also introduce:

• Latency due to multi-tenant queueing
• High processing costs tied to data volume
• Limits in protocol diversity (e.g., no native AS2 or OFTP2 support)
• Challenges with file-level automation, error handling or audit logging

The bottom line? SAP BTP wasn’t built to be a full-featured MFT platform. For organizations exchanging financial payloads, batch files or high-throughput transactional data, these constraints become increasingly apparent during RISE migration.

RunMyJobs + JSCAPE: Redefining the hybrid automation layer

This is where our customer conversations tend to deepen. File transfers aren’t isolated — they’re tightly woven into broader process automation. That’s why RunMyJobs, the #1 cloud-native WLA platform in SAP’s ecosystem, plays a pivotal role.

Redwood’s customers are using RunMyJobs and JSCAPE by Redwood together to address the demands of modern SAP workloads.

RunMyJobs orchestrates end-to-end processes across SAP and non-SAP systems, offering a wide range of comprehensive connectors and templates for the latest SAP technologies and cloud solutions. These include SAP S/4HANA Cloud, SAP BTP, SAP Integration Suite, SAP Datasphere, SAP Analytics Cloud and non-SAP and partner solutions like Databricks, Snowflake and many others. For SAP customers moving their ERP to the cloud via RISE, RunMyJobs is the only WLA solution that’s part of the RISE reference architecture. 

JSCAPE handles the secure, scalable movement of files across protocols, partners, clouds and compliance boundaries.

JSCAPE capabilities that matter in a RISE world

• Multi-protocol Gateway: Supports SFTP, AS2, OFTP2, HTTPS, RESTful APIs, SharePoint, ad hoc, S3, Azure Blob, Google Storage, SMB and more
• Automation integration: Trigger RunMyJobs or REST APIs based on file events
• Security and compliance: Encryption, integrity checks, SIEM streaming, SSO/LDAP
• Scalability: HA clusters and horizontal scale to support global 24/7 operations
• Cloud-ready: Containerized, hybrid and aligned with zero-trust principles

These two platforms are not just compatible — they’re SAP-endorsed, available on the SAP Store and supported by a single vendor: Redwood.

Trusted by SAP, engineered for what’s next

RISE with SAP customers already trust RunMyJobs as the only scheduler that’s part of the RISE reference architecture, and many are extending that trust by integrating file transfers through JSCAPE.

RunMyJobs’ Secure Gateway is a fully supported, SAP-compliant method for enabling secure, outbound automation from within the RISE model, avoiding inbound firewall rules or non-compliant access patterns.

Together, RunMyJobs and JSCAPE provide a unified, secure framework for automating file transfers and workflows across hybrid SAP environments while respecting clean core principles and future-proofing your architecture. 

Where to go from here

If your enterprise is moving to RISE or you’re simply re-evaluating file movement in a modern SAP architecture, Redwood’s experts would welcome the opportunity to talk about your file transfer plans — without assuming your architecture or prescribing a quick fix.

Instead, they’ll share what they’ve learned through years of customer partnerships and how other organizations like yours are rethinking hybrid file flows, automation triggers and compliance boundaries during their cloud transformations.

Let’s define a file movement strategy that supports your business — and your future state. Find out more about JSCAPE.

SAP environments are more powerful than ever, but they’re also more flexible and open to work with the latest technologies. This inherently adds complexity. Many organizations are operating hybrid landscapes with SAP S/4HANA on-premises or in the cloud, SAP Business Technology Platform (BTP) connected to non-SAP apps and tools, external data lakes or warehouses, third-party analytics platforms and a growing number of integration points and APIs. 

Yet, many enterprises are discovering the hard way that it’s not the limitations of integration holding them back; it’s a lack of true orchestration.

Managing data movement across this ecosystem is no longer a task for isolated scripts or point-to-point integrations. It requires an automation fabric that ensures your data flows securely and reliably.

Luckily, much of what you need to achieve this already exists — within your environment, your tech stack and your team. But it needs to come together to run autonomously across all your applications, processes and data. That’s where a purpose-built orchestration layer adds transformative value to SAP data ecosystems.

Where data pipelines break down

Modern SAP landscapes are hybrid by design. You might be running S/4HANA on-prem with SAP BTP extensions in the cloud. You might be feeding into Snowflake for advanced analytics or using Microsoft Power BI for dashboards. You may even leverage tools like Azure Synapse, Databricks or Informatica Cloud. This sprawl creates complexity, and complexity creates friction.

Let’s walk through some common data-related challenges you could be experiencing.

Fragmented scheduling leads to inconsistent data

Without centralized orchestration, teams use whatever’s available: cron jobs, external schedulers, hand-written scripts, etc. This leads to mismatched timing and unreliable dependencies. For example, your sales numbers in Power BI don’t align with your inventory figures in SAP S/4HANA because the data pipelines refresh on different cadences — or worse, silently fail.

Disparate systems often mean data stays siloed, which causes reporting to be inconsistent. That’s a consequence of not having a single pane of glass from which to manage and monitor your data flows. Without a centralized scheduler that acts as an orchestration engine, systems can’t depend on one another effectively, leading to gaps and overlaps. 

Manual processes contribute to high error rates

Manual data entry and transfers are still too common, especially when you’re bridging SAP with non-SAP systems like partner portals, pricing tools or local data repositories. Each touchpoint adds risk. 

If a pricing update comes in from an external vendor and someone delays or incorrectly inputs it manually into files that update SAP Business Warehouse (BW), your customers might see the wrong price and your support lines could light up.

Lack of timely visibility forces reactivity

Outdated data is almost worse than no data. If dashboards and reports pull from systems that haven’t been synced properly, your leadership team will make calls based on stale information. 

Let’s say SAP Analytics Cloud shows margin erosion in one product line, but you don’t have up-to-date access to supply chain or POS data. The root cause will remain unclear, delaying response and ballooning the impact of negative outcomes. 

Difficulty tracking data lineage

When something goes wrong, how fast can you trace it back to the source? In many cases, it takes hours or days of manual investigation across teams and tools. 

When a financial report in SAP Analytics Cloud flags missing revenue, but the issue started in a data ingestion workflow running through Azure Synapse or SAP Datasphere, you’re stuck chasing ghosts if you have no orchestration layer.

Missing automation, missed opportunities

This is perhaps the most widespread and costly issue: systems and teams doing the right things but in isolation. It causes pipelines to stall and dependencies to be overlooked. In other words, you get stuck in a reactive loop.

Your data may be moving on rigid schedules instead of when it’s actually available. Critical workloads like Databricks clusters or EC2 instances might stay running long after they need to. Or, your Power BI might be refreshing every hour instead of being triggered by actual data loads. All of these have the potential to create both lag and waste.

A real picture of end-to-end orchestration across your data ecosystem

What does a centralized, intelligent workload automation (WLA) platform that unifies and orchestrates data movement across SAP and non-SAP systems look like?

• Fluid integration with everything from SAP S/4HANA to cloud-native tools like Snowflake, Databricks, Azure and Google Cloud
• Automated data flow — no more relying on email alerts or batch jobs
• Real-time alerting and proactive error handling to prevent pipeline issues before they impact the business
• Centralized observability so you can see and track data lineage and process status across the entire landscape

With these capabilities, you’re not just fixing technical issues. You’re enabling business agility. You’re giving your teams trustworthy data to act on and reducing the cost and risk of digital operations. Essentially, you’re building a future-ready enterprise.

This automation fabric is powered by a secure, cloud-native job scheduling solution that runs completely outside your SAP environment but is deeply integrated with it. That means no additional load on SAP systems, no lost visibility and no vendor lock-in.

Why this matters for you now as an SAP user

Whether you’re deep into a RISE with SAP transformation or just beginning to connect SAP to cloud analytics and data platforms, orchestrating your data movement must be a strategic priority. SAP Business Data Cloud (BDC) offers incredible promise for unifying enterprise data and applying AI and analytics at scale.  But like any system, BDC is only as good as the data pipelines feeding into it.

And for most enterprises, those pipelines touch systems far beyond SAP: Snowflake, Databricks, Power BI, Azure Data Factory, ServiceNow, Kubernetes, even legacy platforms. And this isn’t just an IT issue. Your Finance team needs timely close processes and readily available data that supports compliance. Your Operations team has to keep processes flowing without waste. Your Customer Support team needs a 360-degree customer view to ensure service and satisfaction.

Even your future initiatives, like training and implementing AI models, depend on clean, accurate and complete data that’s reliable and doesn’t cause hallucinations.

What’s at stake? Cost, trust and transformation

End-to-end data pipeline automation is more than just convenient. RunMyJobs by Redwood customers know firsthand how critical advanced WLA via an SAP-partnered solution can be. It helps them handle the real-world complexities of data operations that arise daily for fast-moving enterprises. 

RunMyJobs’ event-driven workflows, conditional logic, alerting, retries, visual no-code design, AI/ML predictive analysis and alerting and other automation fabric-focused features enable:

• Cost savings: Customers have reduced cloud spend by auto-scaling Databricks clusters or shutting down idle EC2 instances via RunMyJobs.
• Faster reporting: Orchestrating SAP-to-Snowflake-to-Power BI flows, for example, keeps you meeting tight SLAs for daily or hourly dashboards without running refreshes that burn compute unnecessarily.
• Better governance: With audit trails, centralized logs and controlled access (e.g., via ServiceNow), RunMyJobs customers meet compliance requirements more easily.
• Reliability for AI: As AI becomes more crucial to drive productivity and efficiency, you need to know that the data it uses is accurate. RunMyJobs uses best-in-class automation practices to secure the data feeding your AI models, orchestrating continuous data flows so their outputs are reliable, unbiased and meet quality standards.

In your world

No two SAP landscapes look alike, but whether you’re producing goods, delivering power or moving financial assets, your success depends on frictionless data movement between SAP and non-SAP systems.

Consider manufacturing, where orchestration is fast becoming the backbone of Industry 4.0. Production planners must align real-time inputs from MES platforms, IoT sensors, logistics networks and supplier portals with demand forecasts and capacity models in SAP S/4HANA and SAP Integrated Business Planning (IBP). In practice, that means more than connecting systems. It means using an orchestration layer to ensure delivery schedules, machine assignments and work orders always reflect the most up-to-date data. When all systems operate in concert, manufacturers gain agility and protect margins, even as supply chain conditions change.

Or take retail, where every hour of inventory delay risks spoilage, stockouts or missed sales. Leading retailers are using data orchestration to keep forecasting and replenishment, logistics and pricing synchronized across SAP S/4HANA, SAP IBP and SAP Datasphere environments. Retailers are using automation fabrics to move data faster while maintaining accuracy, maximizing their margins in highly volatile markets.

In utilities, orchestrating data across smart meters, SAP IS-U, cloud analytics tools and CRM systems helps ensure billing is accurate and customer service teams are always working from the latest information. Intelligent data orchestration validates and properly sequences handoffs, no matter how many systems are involved.

Life sciences is another area in which data orchestration connects key functions, in this case, discovery and delivery. Research teams rely on orchestrated data movement between SAP R&D Management, ML modeling platforms and analytics tools to screen compounds and predict efficacy, while clinical teams use the same orchestration fabric to forecast site-level inventory and synchronize replenishment. Intelligent automation drives accuracy and timeliness across the research-to-treatment lifecycle.

Global banks, insurers and others in financial services also need to orchestrate thousands of interdependent workflows, from early-morning FX position updates and bank statement reconciliations to intraday liquidity forecasts and payment batches. Orchestrating end-to-end processes, such as start-of-day, eliminate manual interventions and greatly reduce operational risk.

That same level of orchestration is possible across other industries, too. As you explore how to extend automation in your organization, take inspiration from how others are rethinking their SAP-connected processes. With RunMyJobs, SAP customers across industries are unifying their SAP and non-SAP systems into one intelligent, automated, business-aware fabric. In turn, they’re reducing risk, lowering costs and dramatically improving reporting accuracy and timeliness.

Stop thinking in terms of single integrations and start thinking in terms of coordination. Learn how to develop resilient value-chain processes and get the most from your SAP solutions with end-to-end automation.

A few people start digging into logs. Someone restarts a job chain manually. Another calls IT. You eventually find the problem: a single failed data transfer between your MES and SAP solutions. One unforeseen connection that didn’t work as expected.

When the production line stops, so does your business. It’s expensive and frustrating. You’re burning labor and missing delivery windows. Not to mention risking customer churn. And it will happen again — not because your team isn’t capable but because some, if not all, of the systems that touch your plan-to-produce value chain were not designed to work together in today’s cloud- and AI-based IT environments.

Why manufacturing is a challenge for IT

Manufacturing operations today generate staggering volumes of data. Sensors, machines, MES platforms, ERP systems, logistics partners — all producing and sharing information in real time. But most manufacturers aren’t dealing with one unified system. You’re working with layers of old and new technologies stitched together with custom integrations and manual workarounds and expecting them to communicate and share information with each other.

These systems don’t share data easily. Every connection requires oversight. Every exchange of information requires orchestration to ready it to move between disparate applications. Every exception needs human intervention. Every upgrade breaks something else.

Instead of contributing to continuous improvement, your best people are stuck troubleshooting and patching. And it’s slowing you down. Or, even worse, creating a bottleneck that shuts down operations.

If you continue with manual workarounds and disconnected automation, you’re risking:

• Inability to balance capacity with demand
• Higher operational costs from inefficiencies and errors
• Lost market opportunities because of slow or missed deliveries
• Customer dissatisfaction due to quality management issues and delays
• Lack of scalability that limits your competitiveness

Moreover, if you’re still depending on manual steps and separate solutions to monitor different parts of the process, these consequences are even greater.

You don’t need more customized automation — You need a central point of orchestration

Automating individual tasks simply won’t help you dig your way out of this. More one-off custom coding and scripting isn’t the solution for systemic inefficiency. What you need is intelligent orchestration: a coordinated framework that connects and synchronizes your data, production processes and systems end to end.

Orchestration is the only way to scale production without compromising speed or quality.

True orchestration replaces the chaos of reactive operations with continuous, autonomous process flow. Executing steps is only the beginning. You also need a setup that inherently understands dependencies, monitors for anomalies and predicts outcomes so you can adapt before it’s too late.

That’s what it takes to win today because your competitors are producing faster, delivering faster and responding faster to market demands. As for your customers? They won’t wait.

Modernizing production planning: Use cases

Here’s what orchestration with an advanced, SAP-certified workload automation platform looks like in practice in your industry.

Material procurement and delivery

You know how fragile material flow can be when procurement is decoupled from real-time conditions on the floor. With the right workload automation solution, you can tie replenishment directly to production order triggers — not batch-based MRP runs or manual and standardized reorder thresholds.

As inventory hits a predefined floor, you can fire off a sequence that checks availability in SAP, generates purchase orders based on contract terms, updates delivery expectations and adjusts planning data across systems. You’re not waiting for someone to notice the shortfall. The system sees it and acts automatically. That means no surprises or production delays caused by avoidable gaps in supply.

Autonomous communications with supply chain partners

Your suppliers and logistics partners need timely, accurate data to do their jobs, but keeping everyone aligned by email or spreadsheet doesn’t scale. Orchestration enables your production plan changes to take place automatically and ripple through your systems and supply chain.

Shift in the forecast? The system regenerates your schedules, flags the impact on material needs and shares updated requirements with suppliers via EDI or secure file transfer. It alerts your logistics teams if the adjusted timeline affects outbound shipments. Everything stays in sync, and you don’t lose time or credibility explaining changes after the fact.

Quality assurance

You already have checkpoints and inspection plans, but they’re only as effective as your ability to act on the results. Orchestration supports quality data, making sure it’s logged correctly and that it triggers the correct response in real time.

You can build workflows that align to an Industry 4.0 framework, where MES outputs feed directly into your ERP evaluation rules. If a reading passes, production proceeds. If it fails, you immediately route the lot for rework, notify QA and update status fields for traceability. With predictive analytics layered in, you can catch patterns, like defects tied to certain equipment or shifts, before they become bigger problems. And you can automate the response, not just the alert.

Data analysis and decision-making

Pulling together data about machine efficiency, order progress and labor allocation takes time. If you were to truly orchestrate the process, you’d eliminate the lag time between when the data is generated and when it’s useful.

Automated workflows can consolidate data across MES, ERP and planning tools to generate live dashboards or exception reports. If a line is underperforming, your planners will be alerted quickly so they can reroute jobs to optimize resource utilization. And if a shift is falling behind, you can reallocate capacity. You don’t have to wait until the end of the day or week to know where things stand.

Protect your SAP clean core while innovating your manufacturing processes

Implementing orchestration doesn’t require abandoning your clean core SAP strategy if you’re in the midst of a cloud transformation and have ambitions to optimize your production operations. The right solution strengthens it. 

RunMyJobs by Redwood gives you the power and flexibility to scale without chaos, extend your SAP innovations without compromise and deliver products faster without cutting corners.

Replace custom scripts and fragile interfaces with robust, purpose-built SAP connectors for SAP S/4HANA Cloud, IBP, APO, Datasphere, Integration Suite and many more. Orchestrate thousands of interdependent processes and workflows across these and many other applications without custom scripting so you can optimize labor, raw materials and equipment usage and reduce lead times. The outcomes? Cost savings and the ability to meet market demand for your products.

That’s how you make every production run efficient, compliant and on schedule — by centralizing orchestration and eliminating bottlenecks between planning, execution, QA and delivery.

Step into a faster, smarter era

Redwood Software has helped some of the world’s top manufacturers modernize their complex SAP environments with automation fabrics.

• Daikin used RunMyJobs to minimize human error and free its administrators to work on higher-value tasks. Customer service improved, as staff could get straight to fulfilling product orders and other logistics requirements instead of having to deal with process failure issues.
• Kaeser’s global orchestration story is another case in point: By consolidating 40+ country-specific processes into a single, automated chain in RunMyJobs, they gained the speed, resilience and flexibility to keep up with demand without expanding headcount.

These aren’t isolated wins — they’re the new standard. If your manufacturing and IT teams are still manually assembling the puzzle of mission-critical processes, you’ll inevitably fall behind those who have figured out how to balance their capacity with demand with fewer resources. 
Choose effortless orchestration to increase production speed while maintaining quality and delivering on time every time.

Book a demo to see how RunMyJobs can help you take control of your production planning and avoid ever having to scramble at 2 AM again.

The latest report from Americas’ SAP User Group (ASUG), ”How to Unlock the Value of SAP BTP,” reveals that “organizations are increasingly choosing to strategically leverage SAP BTP within SAP S/4HANA journeys.”

Notably, 55% of ASUG members now use SAP BTP, and 73% of SAP BTP users are leveraging it for an SAP S/4HANA transformation. These numbers demonstrate that SAP BTP is no longer just an optional add-on but a core component of modern SAP landscapes.

Because of its diverse capabilities, SAP BTP can introduce complexity and additional IT expertise or other resources for executing new innovations in your SAP environment. Even successful companies struggle to make the most of their technology, especially when it encompasses cloud apps and comprehensive solutions like SAP BTP. To truly harness its capabilities, you need a robust strategy for managing and orchestrating the innovations you’re creating across a diverse tech stack.

RunMyJobs by Redwood, the only workload automation (WLA) solution included in the RISE reference architecture, can help you achieve frictionless automation and orchestration across your business activities, applications and data management.

Here, we’ll review insights from the report about which SAP BTP functions ASUG members are prioritizing to help you draw inspiration and plan for using RunMyJobs to optimize all the great innovations you create in SAP BTP.

Under the wider BTP umbrella, the most valuable technologies for organizations using the solution involve integration, analytics and process automation components. 

p. 3, “How to Unlock the Value of SAP BTP”

Integration: Keeping your connections efficient and predictable

69% of SAP BTP users say integration is key.

But page 3 states, “While connecting business applications and data across the enterprise remains the top priority for survey respondents, fewer respondents were able to achieve this benefit compared to 2023.”

This discrepancy suggests you should look for easy integration as a core feature of any complementary solutions you select. RunMyJobs orchestrates complex integration workflows to achieve autonomous integration across SAP and non-SAP systems. Out-of-the-box, purpose-built connectors enhance the efficiency and effectiveness of your customizations.

Let’s say you’re a global manufacturer managing complex supply chain and production processes. 

• You feed customer orders from a third-party CRM solution to SAP S/4HANA Cloud, triggering a series of interdependent processes spanning different solutions for procurement, production and logistics, all connected using SAP BTP Integration Suite.
• While these processes are connected, numerous tasks and activities must be completed to ensure smooth interaction across multiple applications.
• RunMyJobs complements SAP BTP Integration Suite by autonomously orchestrating the necessary steps to optimize integrations built in SAP BTP. It might trigger validations of your bill of materials (BOM) in SAP IBP, automate purchase orders being sent to suppliers via SAP Ariba and kick off notifications to your MES and logistics systems about production and delivery schedules.

Data fabrics: Supporting your key decisions

61% of SAP BTP users name analytics as a top-priority component.

Handling data efficiently and being able to utilize insights effectively is, understandably, a major concern for forward-thinking businesses amidst a cloud transformation. As the report states on page 4, “Data management will be crucial in fully unlocking the potential of SAP BTP.” 

Many SAP BTP users employ SAP Datasphere and SAP Analytics Cloud to simplify data management. Yet, simultaneously using a legacy job scheduler will result in a vulnerable, ironically disconnected environment in which clean core strategies in your SAP S/4HANA system can be compromised.

RunMyJobs schedules, triggers and monitors sequential task chains required to move data across your entire tech stack into SAP BTP data management tools. In other words, your data flows — to and from SAP BTP solutions — are fast, consistent and accurate.

If you’re a retailer, you might use SAP Datasphere to extract, transform and load sales, customer and inventory data from Shopify into an SAP S/4HANA or SAP Analytics Cloud system. To execute this data flow, you must build, schedule, trigger and monitor many individual data movement tasks. Doing this manually is time-consuming and error-prone, but RunMyJobs’ WLA capabilities optimize the process.

Automation: Driving your mission-critical processes

55% of SAP BTP users are focusing on process automation.

It’s not surprising that SAP BTP users are increasingly focused on automation. SAP BTP can automate simple to moderately complex processes. This can relieve teams of the burden of repetitive tasks and activities. On page 5, the report acknowledges, “Embracing automation will drive efficiency.”

But if you’re extending your environment to the cloud, you’ll likely have to build a lot of custom automations. And holding onto a legacy scheduler will saddle you with the burden of maintaining, updating and QA’ing your scripts and fragile endpoints.

Enterprise WLA with RunMyJobs allows you to run and monitor large volumes of background jobs, transactions and highly complex, interdependent processes across your entire IT landscape. Not only can you automate, but you can visualize the process and quickly identify and resolve any errors or bottlenecks. For example, you can streamline the order-to-cash process — importing hundreds of thousands of sales orders at a time from your CRM to SAP S/4HANA for mass credit checks and invoice generation, then processing and matching customer payments. 

AI: Seizing new opportunities 

34% of SAP BTP users cite the importance and value of AI.

There’s no denying that AI needs to be part of the conversation, but as SAP and other technology providers rapidly upgrade their AI models and offerings, it will become more difficult to understand how to fit it into your everyday processes without introducing new frustrations or roadblocks. 

SAP’s AI strategy involves providing tools and services within SAP BTP to enable users to develop and integrate AI-driven features into SAP solutions. This includes access to pre-built AI models, development environments and integration with established AI frameworks.

As a leading automation company with 30 years of experience, Redwood Software takes a cautious and strategic approach to implementing the latest AI technology in sensitive scenarios. Through best-in-class automation practices, RunMyJobs ensures the continuous flow of information feeding SAP AI models is accurate, timely and unbiased across your data pipelines.

What’s your ROI for SAP BTP?

While more users say they can fully leverage SAP BTP solutions (46%) than in the previous year’s report, 33% still say “No.” Integration hurdles, inconsistent data flows, fragmented automation and uncertainty around emerging technologies such as AI can get in the way of extracting its full value. Without the right approach, you could miss out on many of SAP BTP’s advantages and finding its strengths to be sources of complexity instead.

To fully leverage SAP BTP, consider an enterprise-grade WLA platform designed for automating highly complex, end-to-end processes across multiple applications. These processes are long-running, handle high transaction and data volumes, operate on strict daily timelines and are mission-critical. Failure can put your entire business at risk. 

RunMyJobs can schedule those processes, such as data backups, batch processing, file transfers, workflow approvals, monitoring and more across many different transactions, systems and technologies.

Explore more about how to increase the long-term value of your SAP investment with an SAP-certified partner that co-innovates with SAP.

GROW with SAP overview

To deliver cloud ERP adoption with speed, predictability and continuous innovation, GROW includes pre-configured processes and methodologies.

Key features of GROW with SAP include:

• Scalability: Suitable for midsize companies and scaleups to ensure seamless growth
• Standardization: Enhances efficiency by leveraging pre-configured business process automation
• Cloud ERP: Leverages S/4HANA Cloud built on the SAP Business Technology Platform (SAP BTP) to optimize operations
• Continuous innovation: Provides access to the latest updates and industry-specific solutions

Differences between GROW with SAP and RISE with SAP

While both GROW with SAP and RISE with SAP aim to facilitate digital transformation, they cater to different business scenarios. GROW is primarily for new SAP customers with no prior SAP environment, while RISE is for the existing install base.

GROW with SAP is specially designed for small to medium-sized companies currently running a non-SAP on-premises legacy ERP, or in some cases no real ERP at all, and wanting to move to a world-class cloud-based ERP system. A key driver is having all the capabilities to accelerate your business with the latest industry best practices and continuous innovation in the cloud that larger enterprises enjoy. These options offer scalable solutions that allow businesses to adapt quickly to their growing needs. GROW with SAP is ideal for companies seeking a straightforward, scalable cloud ERP solution with predictable costs and minimal complexity.

RISE with SAP targets larger enterprises with more complex requirements, especially those on prior versions of SAP on-premise ERP solutions, to migrate seamlessly to the cloud. RISE with SAP provides an AI-enabled cloud ERP managed and optimized by SAP. It provides services and tools built on the clean core approach by SAP, so you can migrate on-premises systems, transform business processes, drive continuous innovation and unlock cloud agility.

Different cloud environments

GROW exclusively uses SAP S/4HANA Cloud Public Edition, targeting SMEs with a focus on simplicity, speed of deployment and adherence to standard best practices. While SAP S/4HANA Cloud Public Edition is also available within RISE with SAP and suitable for some organizations, the Private Edition is more frequently chosen by large enterprises due to its flexibility, customization options and control over the deployment environment.

Public cloud

A public cloud deployment provides cost-efficiency and scalability, which is particularly beneficial for businesses looking to minimize IT overhead. Key benefits include:

• Cost efficiency: Reduced capital expenditure with a pay-as-you-go model, eliminating the need for significant upfront investment in hardware
• Scalability: Easily scale resources up or down based on demand, ensuring optimal performance during peak times without over-provisioning
• Maintenance: Managed services reduce the burden on internal IT teams, allowing them to focus on strategic initiatives rather than routine maintenance tasks

By leveraging a public cloud model for GROW with SAP, SMEs benefit from a simplified, cost-effective and scalable solution that aligns with their needs for rapid deployment, minimal customization and easy management. The public cloud’s benefits in terms of cost, agility and maintenance make it the ideal choice for the small to mid-sized business segment targeted by GROW.

Get to know RunMyJobs

As companies transition to GROW with SAP, automating the integration and processes from their legacy and other systems with a modern cloud ERP solution becomes essential. RunMyJobs by Redwood is a SAP-certified workload automation platform that orchestrates this process. It ensures autonomous integration with SAP S/4HANA Cloud and other SAP and non-SAP solutions, maintaining a clean core and providing scalability with guaranteed uptime. RunMyJobs supports continuous operations and offers a low-code, drag-and-drop editor for faster automation setup.

The scalability, pre-configured processes and continuous innovation available with GROW with SAP ensures that businesses can thrive in a competitive environment. Companies can further enhance their operations by integrating RunMyJobs, ensuring a smooth transition and optimized performance. If you are interested in exploring the endless possibilities with RunMyJobs and GROW with SAP, sign up for a demo.

Even with the best intentions and the latest technology, including SAP ERP and supporting applications, you could find several factors are working against you. These roadblocks can hinder production quality, ramp up costs and even lower customer satisfaction. Read on to learn about six common obstacles to optimal manufacturing efficiency and how to overcome them.

1. Manual processes and human errors

Manual manufacturing processes are a liability. They’re time-consuming and can lead to costly mistakes with long-term repercussions. One wrong entry or miscalculation can cause delays, errors and a cascade of issues that disrupt your entire operation.

Consider a scenario in which an operator might mistakenly schedule two critical production tasks at the same time. Machines sit idle waiting for materials that aren’t ready, workers stand by with nothing to do and your production timeline stretches further than planned. The financial impacts of such errors accumulate quickly. When there’s chaos on the shop floor, your profit margins erode.

Solution: Automation is the key to mitigating these risks, but robotic process automation (RPA) is limited. Automated orchestration and data processing removes the human error component from the equation. Leveraging sophisticated time- and event-based triggers and real-time data, your workload automation solution can ensure optimal production schedules and allocate your resources efficiently. 

2. Lack of real-time data integration

Operating without real-time data is like driving a car while looking through the rearview mirror. You’re always reacting to outdated information. Disjointed systems and delayed data flows mean your production adjustments are always a step behind. Imagine you’re preparing for a major order, but your inventory data is lagging. You might overestimate your stock levels and end up with a shortage of materials. On the other hand, if you underestimate and over-purchase, you tie up capital in unused inventory. 

Solution: Real-time integration of workload automation (WLA) with your SAP solutions transforms this scenario. Data flows seamlessly across systems, providing you with up-to-the-minute insights. You can make decisions quickly and confidently, become more agile with production plans and be more precise about procurement. 

3. Inefficient resource allocation

When you have to distribute resources manually, you expend excess time and effort. Wasting resources inflates costs, and overlapping jobs create machine downtime and labor inefficiency. Picture a situation where multiple jobs are scheduled on the same machine. The results are bottlenecks and underutilized human capital. 

Solution: Automated resource planning and dynamic load balancing functionality are the answer. By analyzing and allocating resources without human intervention, your automation solution applies all of your assets where they work best. Your machines can be scheduled for maintenance at the right times, and your production will flow smoothly with minimal downtime. 

4. Inconsistent orchestration

If not orchestrated correctly, the wrong execution of background processes and transactions can create bottlenecks that ripple through your production process or cause inconsistent business data. Ad-hoc or only time-based scheduling makes your supply chain delivery timelines unreliable at best. Trying to meet a critical deadline and finding out key jobs were scheduled haphazardly is more than frustrating — it can block your value chain and even tarnish your reputation.

Solution: Adopt a more systematic approach with end-to-end orchestration. That way, you can prioritize individual jobs and transactions based on predefined criteria such as deadlines, resource availability and production requirements. With high-priority tasks completed on time, you don’t have to worry or guess about your operational efficiency.

5. Poor visibility and reporting

Without clear visibility and robust reporting, your team will have trouble identifying issues and optimizing business processes. If decision-makers fly blind, they can’t make informed choices about how to improve operations. Not knowing where bottlenecks are or which machines are underperforming can put a major dent in productivity.

Solution: Advanced reporting tools integrated with your WLA software provide detailed insights into every aspect of the production process. A consolidated solution provides a single pane of glass from which to generate comprehensive reports highlighting key performance metrics and inefficiencies. With better visibility, you can make data-driven decisions and stay proactive.

6. Scalability challenges

As your company grows, so do your production demands. Peak seasons could be particularly complicated. Keeping up with market demands and maintaining customer satisfaction is essential, and siloed automations simply won’t work when you need to accommodate higher volumes without compromising efficiency or quality. Ramping up production for a big order isn’t possible if your existing processes can’t handle the increased workload.

Solution: End-to-end process automation is scalable — so long as you streamline your workflows. Automation solutions can handle increased production volumes, optimize resource allocation and maintain high levels of efficiency even during peak times. Scalability is crucial for meeting market demands and driving growth.

Workload automation: The efficiency booster

Even if you have an ERP system and dedicated manufacturing solutions in place, you might still be losing time and money if your processes are siloed. A robust WLA solution that works across on-premises, hybrid and cloud environments is the secret weapon because it optimizes every aspect of your supply chain management and supports better decision-making.

Download our latest guide on how to maximize the return on your SAP investment with an automation solution built to drive results for manufacturing businesses. 

Redwood Software was a gold sponsor of this year’s events in Orlando and Barcelona and a 2024 Pinnacle Award winner. I witnessed a new level of enthusiasm from SAP customers to learn how to extend and optimize their investments in SAP with an established partner solution like Redwood.

We had many great conversations at our booth about a range of topics:

• What’s new in the world of workload automation (WLA) and job scheduling
• How to optimize SAP S/4HANA Cloud and SAP BTP with end-to-end automation
• How automation can help you close your books faster

We also conducted plenty of RunMyJobs by Redwood demos on the show floor, and some attendees set up future meetings with key Redwood executives to find out how to ensure WLA is part of their RISE with SAP digital transformation and journey to cloud.

From these conversations and intriguing keynote presentations from SAP CEO Christian Klein, NVIDIA CEO Jensen Huang and others, I came away with three consistent learnings across my interactions with SAP leaders, customers and other partners.

1. Clean core is the de facto standard of SAP strategies.

SAP is advising all customers and partners that any approach to new implementations, existing system maintenance or further enhancement and optimization of an SAP investment must rely on a clean core strategy. This is the only way to effectively leverage SAP’s technology innovations.

Furthermore, using SAP Business Technology Platform (BTP) is the only viable way to extend and customize your SAP ERP investment to keep a clean core. If you’re integrating, extending or enhancing SAP technologies and processes without using SAP BTP, you should stop and ask yourself: Why? SAP BTP is the most efficient and feasible way to do all of the above — and it safeguards a clean core approach.

2. Moving your SAP ERP to the cloud is not optional.

Transitioning your SAP environment to the cloud isn’t a debatable decision anymore. SAP sees this as much more than a technical upgrade. In fact, it’s the only reasonable way to continue adopting new innovations and upgrading existing systems across SAP and non-SAP solutions. 

If you aren’t already in the cloud, in the process of moving over or planning to do so soon, you’re merely incurring technical debt and will be left in the proverbial dust by your industry peers. 

3. SAP partner solutions are driving the next wave of innovation. 

Perhaps the most surprising and compelling theme was SAP leaders’ evident recognition of partner solutions and innovations as the keys to advancement. Discussions about partners’ impact focused on AI and extending the ERP environment to make the most out of your SAP investments. 

SAP sees its install base as the world’s largest repository of business information. Going forward, partner use cases and innovations will unlock the potential of that data to optimize and enhance business processes and decisions for all SAP users. 

This will be particularly true as advanced automation and new AI use cases come to market. While ChatGPT and other generative AI technologies are at the forefront, producing new content such as text, images, music and even code, SAP’s leaders believe it’s leading the charge in the realm of “business AI.” They define the concept as solving business problems and improving operational efficiency in various functions like finance, supply chain, customer service, HR, etc.

SAP partner solutions and innovations will drive the next wave of business AI use cases and customer adoption of SAP systems. New AI scenarios will only be as good as the reliability and timeliness of the data pipelines feeding their large language models. RunMyJobs supports these efforts by autonomously securing and executing those pipelines so future SAP AI use cases contribute to the business outcomes customers intend.

Couldn’t attend SAP Sapphire? You can still engage with us to learn why RunMyJobs is SAP’s #1 job scheduler. Read our guide to future-proofing your SAP ecosystem.

As a Gold Sponsor and 2024 Pinnacle Award winner, Redwood Software will have a strong presence at both the Orlando and Barcelona Sapphire events. Attendees will be able to see workload automation demos and book personal meetings with executives to learn more about Redwood’s products and vision.

Redwood at SAP Sapphire Orlando

Dates: June 3–5 Booth: 544

Join us at the Orange County Convention Center in Orlando, Florida, to chat about future-proofing your organization with automation. We’re happy to answer your questions about our 30-year history, including 20 years as an SAP partner. 

See more information about Sapphire Orlando, including booth hours, here.

Redwood at SAP Sapphire Barcelona

Dates: June 11–13 Booth: 7.220

Come see us at Fira de Barcelona – Gran Via to discover how — and why — to build an automation fabric to level up your organization’s efficiency and scalability. We’ll chat about use cases and proven results of our SAP-certified solutions to help you envision an automated future. Click here for more information about Sapphire Barcelona, including booth hours.

Attending SAP Sapphire this year? Connect with Redwood

Redwood has been alongside SAP for the evolution of its technologies, including S/4HANA and other cloud offerings, closely aligning product roadmaps to provide continuous, seamless support to SAP customers.

Just like the dedicated people of SAP, the Redwood team is driven by customer success. We can’t wait to show you how our strong partnership can enable you to achieve greater efficiency and reduce complexity via seamless end-to-end automation. 

Come see us at SAP Sapphire! Visit booth #544 in Orlando or #7.220 in Barcelona. Attend a session (Orlando or Barcelona) to hear customers’ experiences with RunMyJobs and other Redwood solutions, including how they created greater efficiencies in their organization and drove impactful business outcomes. Reach out to redwoodevents@redwood.com with any questions or to inquire about scheduling a 1on1 meeting.

A note from the author: Don’t wait to automate 

We’re excited to share the impact we’ve had on our customers with everyone at SAP Sapphire and highlight the critical role of job scheduling in RISE transformations.

Whether attending this event or not, you can learn more now about how to automate mission-critical business processes across your tech stack — SAP and non-SAP environments and applications. Book a demo.

If your organization is a cityscape, SAP BTP is the urban planner bringing innovative ideas to the table and ensuring everything works together seamlessly. But as any seasoned city planner would tell you, the most impressive cities don’t just look good — they also function efficiently. 

A diverse IT landscape (your growing city) requires enterprise workload automation (WLA) that includes sophisticated job scheduling on top of advanced data management and analytics, no-code and low-code application development and artificial intelligence. WLA tools handle complex workloads, and job schedulers submit the jobs and batch processes autonomously to servers for execution. Together, these power your mission-critical business processes like a city transit system that never sleeps.

Leveraging the combination of SAP BTP and a robust WLA solution is the key to keeping your city’s heart beating.

We’ll discuss the needs that arise from size and complexity, why an automation fabric complements innovations built with SAP BTP and how to take advantage of end-to-end automation as you move to the cloud via RISE with SAP.

The complex needs of an enterprise

When you’re dealing with a large number of highly complex and interdependent activities, tasks and jobs, you need every one of them to execute perfectly today and every day. There are a few factors that make your automation needs unique compared to a business that can rely on basic automation.

Sequential workflows

In an enterprise context, many sequential workflows must run without a hitch at all times. Rather than simple task lists, your organization likely needs to set up complex sequences where the output of one process triggers the start of another. If any of these workflows fails, the whole end-to-end process comes to a screeching halt, resulting in significant revenue loss, poor customer experiences and other negative business outcomes. It’s important to streamline these sequences, preempt process failures before they happen and reduce the error inherent in manual handoffs for a more predictable and reliable IT environment.

Reliable data orchestration

Data is the currency of the digital economy, and its orchestration is about much more than the simple management of bits and bytes. The right data must reach the right process at the right time. Data flows are vulnerable to bottlenecks, so their orchestration can be a catalyst for improving efficiency. Effective data orchestration ensures your data is accurate and available in a timely manner or even real time.

Scalable end-to-end processes

As your company grows, so do your processes — both in intricacy and scale. Resilience is being able to handle an increasing workload without compromising efficiency or performance. When your operations are truly scalable, you can expand service offerings in your lines of business and create new, innovative business models without overburdening your systems.

Global visibility

The larger your organization and the more complex your business operations, the more important visibility becomes — and the harder it is to achieve. Every stakeholder needs to be able to manage and monitor the tasks and stages of work relevant to them. More importantly, leadership must have broad oversight to facilitate strategic decision-making and quick problem-solving.

Enhancing the automation power of SAP BTP

SAP BTP solutions beautifully support automation. They can perform basic job scheduling, and your IT team can integrate with and create cloud applications using ABAP. However, this approach requires significant resources to develop and sustain the complex end-to-end automations many enterprises need.

To equip your IT team and data professionals with advanced automation, integration, observability and governance, a 100% SaaS-based WLA platform that offers SAP S/4HANA Cloud and RISE-certified integration can be the ideal partner solution.

Differences between RPA, BPM and WLA

Across the SAP BTP landscape, you’ll find opportunities to apply robotic process automation (RPA) and business process management (BPM). 

RPA excels in automating repetitive, rule-based tasks that mimic human actions, making it ideal for straightforward activities with little variability. BPM centers around identifying operational improvement opportunities, modeling a business process, defining workflows, automating individual process steps and monitoring process performance for insights. Both RPA and BPM are excellent technologies aimed at automating simple to moderately complex human and machine tasks and individual processes.

WLA, on the other hand, focuses on automating an accumulation of high-volume activities, tasks, jobs and end-to-end processes across an organization’s entire IT infrastructure. It spans many different transactions, systems and technologies and involves scheduling highly complex, interdependent processes such as:

• Data backups
• Batch processing
• File transfers
• Job scheduling
• Workflow approvals
• Monitoring 

Applied to both IT and business processes, WLA can coordinate tasks with interwoven time- and event-driven dependencies. 

Workload automation complements SAP’s existing automation offerings

For optimal operational efficiency, organizations should aim to reduce silos and build a cohesive, integrated framework of automation tools — an automation fabric — using WLA along with SAP BTP.

Optimize your SAP BTP digital innovations with:

Your WLA solution should complement SAP BTP with:

• A full catalog of out-of-the-box, purpose-built connectors to enhance the efficiency and effectiveness of integrations, customizations, data management and analytics developed in your SAP BTP environment, including:
  • SAP Integration Suite
  • SAP Datasphere
  • SAP Data Services
  • SAP Analytics Cloud
• Autonomous integration across SAP and non-SAP systems for scheduling and managing jobs, background processes, high-volume transactions and other tasks within their entire SAP landscape without any manual intervention. Even for the most complex end-to-end processes, autonomous integration optimizes communication, workflow and data exchange between SAP BTP solutions and other systems. 
• Data movement and report execution that schedules, triggers and monitors sequential task chains required to move data across the entire tech stack into SAP Datasphere and SAP Data Services. This ensures fast, efficient, consistent and accurate outcomes in your data flows to and from SAP’s data management tools. 
• Secure data quality as the foundation for SAP AI use cases. SAP’s AI strategy involves providing tools and services within SAP BTP to enable users to develop and integrate AI-driven features into SAP solutions. This includes access to pre-built AI models, development environments and integration with established AI frameworks. Best-in-class enterprise automation practices connected to AI models within SAP allow for the continuous flow of accurate, timely and unbiased raw manual inputs across the data pipeline.

The clean core advantage

WLA is only truly complementary to SAP BTP if it’s implemented in alignment with SAP’s clean core approach. You should be able to extend the functionality of your SAP products without compromising efficiency and agility with unnecessary and resource-heavy customization.

In SAP BTP, cloud compatibility is a major factor in maintaining a unified environment, as it allows ERP code to remain untouched no matter the extensions and pre-built integrations an organization uses as it migrates to the cloud and thereafter. SAP chooses partners that support its clean core philosophy, especially those that make it easy to transition to S/4HANA Cloud. 

Ensure consistent outcomes across your tech stack as you RISE

If you’re in the midst of or considering a cloud transition via the RISE with SAP program and SAP BTP, it’s important to speed up your time to value. The answer is WLA.

You shouldn’t go with just any automation solution; you need one that’s guaranteed to work smoothly alongside SAP BTP. With RunMyJobs by Redwood, you get out-of-the-box SAP BTP integration and connectors that offer:

• Autonomous communication across SAP and non-SAP systems
• Sequential task chain schedules, triggers and monitoring
• Secure data quality
• Fast, efficient and accurate data management
• A continuous flow of information feeding SAP AI models
• Orchestration and monitoring of complex end-to-end processes from a single pane of glass

Like an adept city planner anticipates growth, it’s time to explore the dynamic automation that can level up your SAP BTP environment. Find out more about how RunMyJobs can increase the long-term value of your SAP investment.

This article covers what an SAP Enterprise Architect is, how they affect your business and what tools they need to be successful. 

What is SAP Enterprise Architecture?

Enterprise architecture involves a detailed understanding of a business’s structure and how IT systems can best support its objectives. The SAP Enterprise Architecture Framework lays out the optimal IT and operational structure for a given enterprise using SAP solutions.

An SAP Enterprise Architect develops a roadmap that integrates business and IT strategies, facilitating digital transformation and supporting the development of an intelligent enterprise.

SAP Enterprise Architect certification

SAP certification solidifies the expertise of SAP Enterprise Architects. It not only validates their skills but also ensures they are up to date with the latest SAP technologies and frameworks. This knowledge enables them to design and implement architectures to support an organization’s transition to an intelligent enterprise.

The roadmap to success: How enterprise architects chart the course

Crafting a comprehensive roadmap requires a deep dive into the methodology that underpins enterprise architecture. This includes aligning solution architecture with business processes, engaging stakeholders and meticulously planning initiatives that drive the organization forward. 

In this journey from traditional operations to an S/4HANA-powered intelligent enterprise, SAP Enterprise Architects must not forget to incorporate autonomous integration and end-to-end process automation. When business model changes are involved and digital transformation is the goal, they must select an automation strategy that aligns with the overall business strategy and SAP architecture.

This requires identifying areas where automation can bring value, such as in replacing repetitive tasks and manual processes and facilitating smoother system integrations. Sometimes, the architect role will mean designing a plan to orchestrate thousands of sequential, interdependent tasks across hybrid cloud environments with SAP and non-SAP systems.

Getting technical with solution architecture

While enterprise architecture provides a macro view of organizational strategy and alignment, solution architecture is about the specifics of designing individual solutions within the SAP ecosystem.

What’s the difference between enterprise architects and solution architects? 

Though there is often an overlap, the roles of an SAP Enterprise Architect and a Solution Architect are distinct. The former concentrates on broad business strategies and how SAP solutions can support them, while the latter is more of a technical architect, ensuring the chosen SAP products effectively meet specific business requirements.

Many SAP customers need both these areas of expertise, as larger business needs and zoomed-in details are equally necessary for achieving true digital transformation.

The importance of job scheduling and tool integration

Both SAP Enterprise Architects and Solution Architects use a variety of tools for innovation, such as SAP Business Technology Platform (BTP), robotic process automation (RPA), AI and data analytics applications. 

While fully implemented automation is ideal for business efficiency, orchestrating it across all of these would require investing significant resources into configuration, coding and maintenance to bring together SAP and non-SAP solutions. It also presents challenges for maintaining a clean core.

Instead, they can choose to enable the autonomous execution and monitoring of large volumes of critical background jobs, transactions and interdependent end-to-end processes with an SAP-certified workload automation (WLA) solution. The right WLA tool can handle the inherently complex technical architecture of the enterprise and simplify automation creation with low-code or no-code development.

RunMyJobs by Redwood: Elevating SAP Enterprise Architecture

In the intricate dance of digital transformation, RunMyJobs by Redwood emerges as a vital partner. This SAP-certified job scheduler extends the automation capabilities of SAP systems. It enhances enterprise architecture by streamlining data processing, optimizing workload management and ensuring that critical operations proceed without a hitch, directly supporting the architect’s roadmap and initiatives.

RunMyJobs is a strategic asset for SAP Enterprise Architects. Automating critical SAP tasks enables architects to focus on high-value strategic planning and ensures that SAP systems are not just operational but optimized for business growth. Advanced automation, integration, observability and governance are essential for designing a digital transformation plan that’s innovative, consistent and efficient.

Moreover, RunMyJobs comes with out-of-the-box connectors for SAP systems, including SAP BTP, thus enhancing the efficiency and effectiveness of integrations, customizations, data management and analytics developed within an on-premises, hybrid or cloud environment. 

Your ultimate business architecture partner

Synergy between enterprise architecture and technological innovation will continue to be essential for SAP customers. The journey of an SAP Enterprise Architect reflects this need. SAP architects must have strategic foresight, technical acumen and a flexible mindset. 

Companies like Redwood Software support the expertise of SAP-certified professionals. With 30 years of experience in software and 20 years working with SAP solutions, Redwood is a trusted SAP partner.

Find out how Redwood’s solutions, including WLA via RunMyJobs, expand the power of your SAP portfolio and enable SAP Enterprise Architects and Solution Architects to drive results. Get a demo today.

For businesses leveraging on-premises SAP solutions, the question is how to optimize existing investments while evaluating the strategic benefits of cloud migration for future growth. Understanding the strategic implications of enhancing your on-premises SAP systems or moving to a cloud-based solution is crucial. 

Explore the different facets of maintaining SAP on-premises versus embracing cloud capabilities and learn how RunMyJobs by Redwood can support your organization in achieving operational excellence, regardless of your deployment model.

SAP cloud vs. on-premises: Navigating the shift

With the evolution of enterprise resource planning (ERP) systems, SAP has transitioned to offering its solutions primarily through public or private cloud-based deployments to cater to diverse business needs and preferences. This evolution reflects a broader industry trend towards cloud services, driven by the demand for greater flexibility, scalability and innovation. 

While SAP advises most customers to move to the cloud, understanding the distinctions between SAP’s cloud offerings and traditional setups remains crucial for businesses shifting from existing on-premise infrastructures to the cloud.

Explore the comparative landscape of SAP’s current cloud solutions against its traditional on-premises deployments. Understanding the legacy advantages of on-premises systems alongside the strategic benefits of migrating to SAP’s cloud environments, leadership teams can make informed decisions about their ERP strategies in the context of evolving technological capabilities and business objectives.

SAP cloud: The future is here

Migrating to SAP’s cloud version for your ERP needs brings several advantages, especially when you choose a solution like SAP S/4HANA Cloud, a powerful cloud-based platform designed to help businesses run more efficiently and effectively. It is recognized for its flexibility, scalability and ability to provide businesses with the latest innovations and functionalities without needing extensive hardware investments. 

While both S/4HANA Cloud and traditional on-premises deployments leverage SAP’s advanced HANA in-memory database technology for real-time analytics and insights, a key differentiator for S/4HANA lies in its cloud-native integration and capabilities. S/4HANA Cloud is designed to optimize and streamline business processes by leveraging the latest in artificial intelligence and machine learning, providing a more agile and dynamic environment for organizations to adapt quickly to market changes and drive innovation. S/4HANA Cloud offers the immediate analytical benefits of HANA with the added value of cloud-based flexibility and continuous improvement through SAP’s ongoing updates and enhancements.

SAP designed the S/4HANA Cloud with a clean core to facilitate rapid updates, scalability and future integrations. This design philosophy ensures that the core ERP system remains streamlined and efficient while offering the flexibility to meet specific business needs through external extensions and customizations rather than direct modifications to the core system. Upgrading and adopting new functionalities is simpler, with minimal risk of disruptions and compatibility issues.

In traditional on-premises deployments, businesses can still follow the concept of a clean core, but one benefit businesses enjoy is the freedom to customize the core system directly. The self-managed nature of on-premises environments and greater customization can lead to challenges during upgrades and integrations, since someone must carefully manage customizations to ensure compatibility with new software releases. TS/4HANA Cloud deployments more systematically implement and enforce the clean core philosophy, enabling businesses to leverage the benefits of cloud agility and innovation.

When companies migrate to the S/4HANA Cloud, they get the added benefits of:

• Integration and compatibility: With SaaS models, SAP cloud solutions offer better integration with third-party services, offering the benefits of continuous innovation in cloud service offerings.
• Scalability and flexibility: The cloud model adapts quickly to changing business needs, allowing for easy scalability.
• Security and compliance: Cloud deployments can leverage the security and compliance measures provided by cloud providers, offloading some of the responsibility from the business.
• Updates and maintenance: Cloud solutions simplify the upgrade process, ensuring access to the latest functionalities without significant downtime or manual intervention.

Cloud deployments, characterized by their SaaS model, simplify the IT landscape and support scalability by reducing the need for on-premises data centers. The cloud version ensures businesses can leverage SAP’s latest innovations through regular updates. Thus, it’s possible to enhance functionality and user experience without significant downtime or additional infrastructure investments.

SAP on-premises: Tailored but tethered

Despite the push towards cloud solutions, SAP on-premises deployments continue to have their place. Companies want the ability to maintain full control over their ERP environment. The evolving landscape of SAP solutions and cloud deployments offers a new paradigm for achieving full control over ERP environments through private cloud deployments. 

Private cloud deployment is ideally suited for businesses seeking deep customization capabilities or those operating in industries with stringent data residency and compliance mandates. Businesses do not have to compromise on control or customization for the sake of embracing cloud technology — there’s a viable path for those looking to modernize their SAP infrastructure without losing the customization and control critical to their operations.

Despite offering unparalleled control over the ERP environment, on-premises instances can encounter specific integration challenges in contrast to cloud deployments. Let’s explore some of the integration hurdles users of on-premises systems face.

On-premises integration challenges

1. Customization complexity: On-premises systems often require extensive customization to meet specific business needs. While customization offers control, it can complicate integration with external systems, requiring additional development and maintenance efforts.
2. Limited connectivity: By design, cloud services sometimes lack built-in connectivity features. Integrating newer cloud-based services or APIs may require additional infrastructure or middleware, adding complexity and potential performance bottlenecks.
3. Upgrade synchronization: Keeping on-premises systems in sync with external services can be challenging, especially if the system or the external services update frequently. Each upgrade can necessitate a review and possible revision of integration points, which is resource-intensive.
4. Security and compliance: Integration with external platforms requires careful consideration of security and compliance, particularly in industries subject to strict data protection regulations. Ensuring secure data exchange and maintaining compliance can be more challenging when extending the on-premises system beyond its initial setup.
5. In-house expertise: Successful integration with other systems often requires in-house IT expertise and resources to manage and troubleshoot the integrations. Integration maintenance can strain limited IT departments or entail additional investment in training and development.

On-premises solutions offer customization and control but demand substantial commitment to managing the IT infrastructure, including data centers, servers and personnel to maintain and upgrade the system. This model can lead to higher upfront costs and necessitates a longer-term strategy for coping with the inevitable need to migrate to newer versions or consider cloud solutions to keep pace with technological advancements.

Job scheduling and automation in the cloud vs. on-premises

Job scheduling and automation are critical components of an efficient ERP system because they impact the reliability and performance of business processes. Cloud deployments often provide greater flexibility and scalability in job scheduling, enabling businesses to adapt quickly to changing demands. On-premises solutions, while offering more control, may require more effort to achieve the same level of dynamism and scalability.

RunMyJobs: Bridging the gap

RunMyJobs brings a unique perspective to this discussion, offering a cloud-native solution that integrates seamlessly with SAP cloud and on-premises environments. The SAP-certified job scheduler enables businesses to leverage the benefits of automation and scheduling without compromising control or scalability.

RunMyJobs seamlessly integrates with cloud, hybrid or on-premises SAP deployment models, offering unparalleled support for companies looking to maintain their current system or transition to SAP cloud solutions. Businesses will get end-to-end automation capabilities, from simple tasks to complex workflows, across SAP’s ERP system and non-SAP applications. 

SAP private vs. public cloud: Understanding the key differences

When considering SAP cloud deployments, the choice comes down to private versus public cloud environments. Both models offer the cloud’s core benefits — scalability, flexibility and the efficiency of managing ERP systems — but cater to different business needs and security requirements.

SAP private cloud

The private cloud provides a controlled environment dedicated to a single organization. SAP (in a single-tenant environment) or third parties, including hyperscaler cloud providers, can customize and manage resources such as servers and storage. This setup is ideal for businesses with strict data control, compliance and security requirements because it offers the benefits of cloud computing with greater control over IT infrastructure.

SAP public cloud

SAP Public Cloud can be delivered directly by SAP, utilizing their infrastructure or through collaboration with hyperscaler cloud providers such as Amazon Web Services (AWS), Microsoft Azure and Google Cloud Platform (GCP). 

With this model, businesses access computing resources over the Internet and can achieve significant scalability and cost-effectiveness. They pay only for consumed resources and align operational expenses with actual usage, scaling resources up or down based on demand while leveraging the robust security practices and compliance standards established by SAP and its hyperscale partners. Companies can rely on the combined expertise of SAP and leading cloud technology providers to secure their data and comply with regulatory requirements while enjoying the inherent advantages of cloud scalability and efficiency.

Choosing the right SAP deployment for your business

SAP’s focus on cloud solutions underscores its commitment to facilitating digital transformation for businesses worldwide. By encouraging migration to its cloud solutions, SAP aims to provide companies with a path to more agile, cost-effective and innovative management of business processes. Opting for SAP cloud solutions comes with several benefits:

• Cost efficiency: SAP cloud solutions enable a shift from capital expenditure (CapEx) to operational expenditure (OpEx). This transition allows companies to minimize upfront investments, spreading costs over time and enhancing financial flexibility.
• Digital transformation catalyst: Embracing cloud technology is pivotal in a company’s digital transformation. The move can lead to streamlined processes, improved data analytics and superior customer engagement.
• Innovation and agility: SAP’s cloud solutions receive regular updates to incorporate the latest technological advancements. With the latest features, companies can adapt to market changes and evolving business needs.
• Maintenance and security: SAP is responsible for maintaining, updating and securing its cloud platforms. This alleviates the burden on companies, potentially lowering the risk of downtime and security vulnerabilities.
• Scalability and flexibility: The inherent scalability of cloud solutions means businesses can adjust their resources according to fluctuating demands to reduce costs and optimize ROI.

Maintenance and security in the public cloud involve SAP directly overseeing these aspects. Its standardized, robust security measures and frequent, automated updates to all users simultaneously reduce the risk of downtime and security vulnerabilities. While SAP still maintains and secures private cloud platforms, the process allows for more customization to align with specific company policies and schedules — a personalized approach that meets unique business needs but may vary in update frequency and security configurations.

While both private and public are cloud solutions, there is a difference in the frequency of updates. SAP’s public cloud generally gets more frequent automatic updates to ensure immediate access to the latest features and security enhancements. In contrast, private cloud deployments offer customized update schedules, allowing for greater control but potentially slower access to new features. This reflects the balance between rapid innovation in the public cloud and tailored control in the private cloud.

Choosing between SAP private cloud and SAP public cloud comes down to a choice based on business needs, regulatory constraints and strategic objectives. With RunMyJobs, businesses can harness a cloud-native solution that complements their SAP cloud strategy. 

Drive digital transformation and operational excellence and optimize your SAP ERP deployment to ensure your business remains agile, efficient and ready for the future. Sign up for a demo of RunMyJobs today and discover how we can transform your SAP job scheduling and automation processes.

Understanding SAP Cloud Connector

SAP Cloud Connector acts as a gateway that ensures secure and efficient communication between your on-premises systems and SAP’s cloud offerings, such as SAP BTP, SAP Cloud Platform and various cloud applications. This functionality allows businesses to extend their existing backend systems, housed within their internal networks, to the cloud, safely and securely.

Why SAP Cloud Connector matters

Integrating cloud applications with on-premises data and systems enables businesses to create dynamic, flexible and scalable IT environments that seamlessly integrate end-to-end processes across their entire IT landscape. This integration supports a wide range of use cases, from extending SAP on-premises applications to the cloud, including SAP Fiori, SAP S/4HANA Cloud and SAP Analytics Cloud, to facilitating custom cloud development scenarios for tailored business solutions.

For organizations leveraging SAP’s vast ecosystem, the SAP Cloud Connector simplifies the process of cloud integration, ensuring that data flows securely between SAP cloud services and on-premises SAP systems without exposure to the broader internet. This is crucial for maintaining data integrity and security, especially when sensitive business processes and internal systems are involved.

Redwood’s role in enhancing SAP Cloud Connector’s capabilities

Redwood takes SAP Cloud Connector’s capabilities further with RunMyJobs by Redwood, the only SaaS job scheduler built from the ground up for hybrid cloud environments. RunMyJobs offers unparalleled performance, security and reliability, ensuring that as businesses migrate to the cloud, their operational workflows and end-to-end processes remain uninterrupted and optimized.

By leveraging RunMyJobs, businesses can automate business processes across their entire tech stack, including seamless orchestration of SAP processes including those in on-premises environments and third-party applications with integration to SAP S/4HANA Cloud, BTP and other SAP cloud solutions. This comprehensive automation and integration capability ensures businesses maximize their investment in SAP technologies while enjoying enhanced flexibility, scalability and innovation.

Interested in seeing how RunMyJobs can transform your SAP cloud integration? Sign up for a demo today and discover the difference of seamless, automated business processes.