Data Warehouse & Data Lake Services | SAP BW Consulting

SAP BW Consulting Services

From optimizing SAP BW foundations to architecting production analytics and AI.

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25+

Years of data expertise

100K+ 

Workloads migrated or managed

45+

Technology specializations

SAP BW use cases: Turning decades of encoded BI into a competitive advantage

Production-ready SAP BW solutions for every stage of your journey.

Cascades unlocks SAP data in Google Cloud for advanced analytics

Modernizing toward cost savings and advanced analytics capabilities.

Pythian built an enterprise data platform on Google Cloud using Cortex Framework and BigQuery, connecting multiple SAP modules and additional data sources. Cascades moved from a costly, rigid BW environment to cost-effective cloud-based reporting and advanced analytics capabilities that were impossible on the legacy platform.

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Cascades unlocks business optimizations through Google Cloud modernization.

SAP BW modernization frameworks that streamline migration success

A phased, SAP-aware approach that keeps financial reporting running during transformation.

We assess your BW environment end to end—performance, security, and utilization. We identify the 60–80 percent of unused objects that can be decommissioned before migration, and stabilize mission-critical workloads for systems approaching the 2027 deadline.

We recommend the right path—BW/4HANA, Datasphere/BDC, or cloud-native exit—based on your workloads, S/4HANA timeline, and priorities. Your modernization roadmap aligns with your broader SAP strategy so you don't rebuild tomorrow what you build today.

The hardest phase. We reverse-engineer ABAP routines and convert them to cloud-optimized SQL, preserving business logic that took decades to refine—currency conversions, inter-company eliminations, fiscal period mappings. This is where deep SAP BW expertise matters most.

We extract data at scale and validate every migrated report against BW before cutover—coordinated with your financial close cycles for zero disruption.

We rebuild static reports as interactive dashboards, enable self-service analytics, and deliver AI-ready pipelines. We provide 24/7 managed services for both legacy and new environments so your team can focus on extracting value.

Turn your SAP BW landscape into a modern, AI-ready data platform.

Pythian's related SAP BW services

Integrated expertise across every layer of the data stack.

SAP BW consulting services frequently asked questions (FAQ)

How do you handle the "double migration dilemma" when we're migrating both SAP BW and SAP ECC to S/4HANA at the same time?

This is one of the most common challenges we see—and the reason coordinated planning matters so much. We architect target environments using a medallion architecture (bronze/silver/gold) that treats ECC and S/4HANA as separate sources. This means the analytics platform you build today absorbs the future S/4HANA data model without requiring a rebuild when your ERP migration completes. We align BW modernization milestones with your S/4HANA timeline so both programs reinforce each other instead of competing for resources and risk budget.

What kind of ROI can we expect from an SAP BW modernization?

ROI comes from multiple sources. Landscape rationalization alone—decommissioning the 60–80 percent of unused BW objects before migration—dramatically reduces scope and cost. Customers typically see significant reductions in total cost of ownership by eliminating HANA licensing, specialist staffing, and on-premise infrastructure. Beyond cost savings, organizations gain capabilities that were impossible on legacy BW: Real-time analytics, self-service BI, integration of non-SAP data sources, and AI-ready pipelines.

How much of the ABAP business logic conversion can be automated?

Simple 1:1 field mappings and formula-based transformations can often be converted programmatically. However, the real challenge is in expert routines—fully custom ABAP programs that replace standard transformations entirely. These routines encode critical business rules like currency conversions, inter-company eliminations, and fiscal period mappings that often exist nowhere else in the organization. They require manual reverse-engineering by engineers who understand both ABAP and the target platform. This is precisely where Pythian's dual fluency in SAP internals and cloud-native data engineering makes the difference—we've done this work across complex, multi-decade BW environments.

Should we stay within the SAP ecosystem (BW/4HANA or Datasphere) or exit to a cloud-native platform?

It depends on your workload characteristics, S/4HANA timeline, and strategic direction. BW/4HANA is a strong choice for organizations that want to preserve existing BW investments with support guaranteed until 2040. SAP Datasphere and BDC make sense if you want cloud scalability while staying within SAP's analytics ecosystem—especially with BW Bridge providing transitional compatibility. A full cloud-native exit to BigQuery, Snowflake, or Databricks is best for organizations ready to break the SAP data silo and gain elastic scaling, modern BI integration, and AI-ready infrastructure. A fourth option—phased hybrid—lets you migrate high-value workloads first while maintaining BW for lower-priority reporting during the transition. Pythian provides vendor-neutral assessment based on ROI modeling and your S/4HANA timeline, not vendor loyalty.

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