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Untangling SAP’s business logic via automation

One of the biggest challenges when working with SAP S/4HANA data is that it’s not immediately understandable to the people who need it most — business users. Raw SAP outputs are filled with cryptic table names, technical field codes, and reference IDs that require specialized knowledge to interpret.


This creates a dependency loop: analysts have to go back to SAP specialists for help, business teams wait longer for insights, and projects slow down.


The Knowledge Base Processor (KBP) was designed to break that loop by automatically transforming SAP’s highly technical outputs into business-ready datasets.


A. Business Value: Translating SAP Data into Business Language


  • Automatic Linking of Text Tables— SAP often stores descriptive information in separate “text tables.” For example, a table might have a column called InspectionType with a value of “01,” but the meaning of “01” lives in a different table entirely. KBP automatically links these text tables to dimensions, so the output contains “Goods received Insp. for purchase order” instead of just “01.”


  • Code Translation for Readability - KBP translates cryptic SAP codes into meaningful business terms across all datasets. This applies not just to inspection types, but also to status codes, defect categories, and other classification fields.


  • Pre-Joined Master and Transaction Tables - Following SAP best practices and retaining its business logic, KBP pre-joins the relevant master and transaction tables so outputs are both complete and consistent. This ensures that every dataset includes all the contextual information needed for analysis — without extra manual joins.


  • Business Impact 

    • Faster Insights – Analysts can start building dashboards immediately without spending days deciphering codes.

    • Self-Service Analytics – Business teams can explore datasets without relying on SAP specialists.

    • Data Governance – Standardized translations mean the same code is interpreted consistently across reports.


By making SAP data immediately usable for reporting, KBP shortens the time from data transformation and modeling to actionable insight.



B. Technical Capability: Horizontal & Vertical Scaling in KBP- Managing Hundreds of CDS Views at a time keeping intact the SAP business logic


In large SAP S4HANA environments, it’s not uncommon to deal with hundreds of Core Data Services (CDS) views spanning multiple modules, dependencies, and data layers. Processing them manually — or even semi-automatically — often creates bottlenecks, delayed timelines, and inconsistent results.


Untangling SAP’s business logic via automation

The Knowledge Base Processor (KBP) was engineered to solve this at scale, using a dual-scaling approach:


Horizontal Scaling – Processing More in Parallel

Horizontal scaling means adding more “workers” to the job. In KBP’s architecture, these workers are called Exploders (Slaves) — specialized processing units that dissect CDS views, extract metadata, and resolve dependencies.


Instead of processing CDS views one by one, KBP can run multiple Exploders simultaneously, each handling a different view or a subset of dependencies. This means dozens of CDS views can be processed in parallel, dramatically reducing total run time for large datasets.


Example: If you have 150 high-priority CDS views across SAP Quality Management, KBP can distribute them across multiple Exploders so they all progress together, rather than sequentially.



Vertical Processing – Going Deeper, Smarter

Not all CDS views are simple. Many are layered, with dependencies that go several levels deep (View A depends on View B, which depends on View C, and so on).


KBP’s Processor (Master) intelligently manages this vertical depth by:

  • Identifying all dependency chains in advance.

  • Triggering new Exploders for each sub-dependency.

  • Resolving each layer in the correct order to maintain integrity.


This ensures that by the time the final ANSI SQL is generated, all dependent logic and relationships are intact.



Intelligent Load Balancing & Optimization

KBP doesn’t just scale — it scales efficiently. The Processor monitors workload distribution, ensuring no single Exploder becomes a bottleneck. It can allocate more resources to complex dependencies while letting simpler views finish quickly.


The result:

  • Throughput — processing hundreds of CDS views in hours, not weeks.

  • Consistency — every output adheres to SAP best practices.

  • Flexibility — the same scaling principles work for 10 views or 1,000.

With KBP, scaling up doesn’t mean slowing down — it means delivering accurate, analytics-ready SAP data faster than ever before.



Conclusion:

indigoChart's KBP for SAP S/4 Hana represents a transformative approach to enterprise data integration, combining automation, preservation of business logic, and seamless cloud platform integration. By addressing the complex challenges of SAP data transformation through intelligent automation, our solution enables organizations to accelerate their analytical journeys while maximizing the value of their SAP investments.


indigoChart helps organizations adopt a modern and forward-looking migration approach ensures that your data infrastructure can grow and evolve with your business, setting you up for long-term success.

If these challenges sound familiar, let us help you take the next step towards a sustainable SAP modernization strategy. Explore our SAP solutions right here.


Visit us at www.indigoChart.com or drop us a line at hello@indigochart.com




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