Analytics in motion: Incorporating SAP Analytics Cloud into complex process cadences

What mission-critical process doesn’t require analytics automation? None!

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.