Challenge
A global CPG company needed to assess the complexity of its SAP BW modernization, validate its target data architecture, and identify opportunities to accelerate migration with AI before committing to a large-scale transformation program. This early-stage data migration assessment helped shape a more controlled legacy modernization path.
Solution
Through a proof of concept, Lingaro applied its AI-accelerated Migration Factory framework to analyze migration scope, map dependencies, evaluate automation potential, and assess the viability of the target data architecture before broader modernization activities began. The approach supported a focused cloud data migration and data warehouse migration strategy for future scale.
Why it works
Domain
Deep SAP BW and data architecture expertise helped preserve business logic, assess migration complexity, and validate the modernization approach. This reduced risk across the enterprise data migration plan.
Design
AI-supported discovery, documentation, and analysis provided clear visibility into the SAP BW landscape while reducing manual effort and uncertainty. It also clarified where AI data migration and data transformation could accelerate delivery.
Adoption
A repeatable migration framework, version-controlled documentation, and reusable migration intelligence created a foundation for future modernization initiatives. These reusable data migration services assets can support each future data migration project.
Results
- Migration scope defined in under two hours
- 100% automated metadata extraction and documentation generation
- 70% automation potential identified for re-platforming activities
- Up to 80% less future re-coding effort
- Validated target data architecture and modernization roadmap
- Repeatable framework established for future SAP BW modernization initiatives
