Data engineering and migration
A clean, tested data layer that survives your ERP change.
The problem we solve
AI and reporting depend on data that is often scattered, unreconciled and locked in legacy ERP. In the DACH region, 54% of SAP user firms still run SAP ECC (DSAG, 2026), and mainstream maintenance for ECC 6 EHP 6 to 8 ends on 31 December 2027. Meanwhile, 63% of organisations lack, or are unsure they have, data practices ready for AI (Gartner, 2025).
Features and deliverables
- SAP-to-Snowflake source-to-target mapping
- Ingestion pipelines orchestrated with Airflow
- dbt models with documented lineage
- Automated data-quality and reconciliation tests (row counts, totals, business rules)
- CI/CD and environments in Azure DevOps
- Run-book and hand-over documentation
Benefits and business impact
- One governed data layer that feeds analytics and AI, whatever happens to your ERP
- Reconciliation tests prove the migrated numbers match the source
- Extra data engineering capacity without a 7.7-month hiring cycle (Bitkom, 2025)