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Strategic Impact
Our Approach
Data Model Assessment & Architecture Design
The existing Power BI semantic models were audited for DAX performance bottlenecks, query inefficiency, and data model design issues. A target architecture was defined covering the SQL Server migration strategy and semantic model rebuild approach.
SAP HANA to SQL Server Data Pipeline Migration
Financial fact and dimension tables were extracted from SAP HANA and migrated to SQL Server, with CTE-based query logic rebuilt in SQL Server syntax and validated against source figures through a multi-period reconciliation process.
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Power BI Semantic Model Rebuild & DAX Optimization
The Power BI semantic model was rebuilt on top of the SQL Server data layer with refactored DAX measures, optimized calculation logic, and row-level security implemented for divisional and organizational filters.
Dashboard Delivery for Finance Leadership
Rebuilt report pages were delivered covering expectancy, actual vs. forecast, operations, R&D, and management views, with dynamic time intelligence, calculation groups, and bookmark navigation.
Ongoing Enhancement & Support Retainer
The engagement continued as an iterative retainer, delivering new KPI visuals, adjusting calculation logic in response to business changes, optimizing scheduled refresh, and expanding the reporting surface across additional business units.
BabyBots Impact Assessment
The Impact
Finance and operations leadership gained a reliable, high-performance reporting environment that reflects current data without manual intervention. The migration from SAP HANA to SQL Server resolved long-standing query timeout issues and eliminated the reconciliation gaps that had eroded trust in the reports. The finance team now makes planning and resource decisions grounded in current, validated figures.
- SAP HANA to SQL Server data migration for financial fact and dimension tables
- Rebuilt Power BI semantic model with optimized DAX measures and calculation groups
- Divisional finance dashboards including expectancy, actual vs. forecast, R&D, and management views
- Row-level security implementation for organizational and divisional filters
- Ongoing retainer support with iterative dashboard enhancements
Project Journey
Project Timeline
Phase 1
Power BI Retainer — Data Model Assessment & Architecture (Phase 1)
Audited the existing Power BI semantic models, identified DAX performance bottlenecks, and mapped the target-state data architecture across SQL Server and SAP HANA sources.
Phase 2
Power BI Retainer — Data Pipeline Migration (Phase 2)
Executed the SAP HANA to SQL Server migration for key financial fact tables, rebuilt cross-system CTE queries, and validated data integrity against source reconciliation.
Phase 3
Power BI Retainer — Dashboard Rebuild & Optimization (Phase 3)
Rebuilt the Power BI report suite using the migrated data layer, refactored DAX measures for performance, and delivered interactive dashboards for divisional finance leadership.
Phase 4
Power BI Retainer — Ongoing Enhancements & Support (Phase 4)
Delivered iterative enhancements across reporting periods including new KPI visuals, row-level security implementation, and scheduled refresh optimization.
Automotive / Industrial Manufacturing
Power BI Analytics Modernization Retainer for an Industrial Manufacturer
The engagement continued as an iterative retainer, delivering new KPI visuals, adjusting calculation logic in response to business changes, optimizing scheduled refresh, and expanding the reporting surface across additional business units.
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BabyBots is an enterprise technology partner with expertise across process automation, AI systems, data intelligence, and platform architecture.
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