- Organisation
- PERI SE
- Predecessor
- On-premises SAP BW on HANA analytics landscape
- Destination
- Microsoft Fabric OneLake and lakehouse architecture with Azure Databricks and Power BI Direct Lake
- Workload
- Global enterprise analytics, data engineering, reporting and self-service business intelligence
- Stage
- Operational analytics replatform
- Retirement status
- The source supports migration of the existing SAP BW on HANA analytics system; it does not state a formal retirement date or enumerate every residual SAP dependency.
- Confidence
- High
- Next trigger
- A formal SAP BW retirement statement, dated cutover disclosure or later enterprise data-product milestone.
Programme context
PERI's global reporting and analytics environment depended on an on-premises SAP BW on HANA landscape. The company sought a scalable cloud data foundation that could combine SAP and non-SAP data, shorten reporting cycles and support governed self-service analytics across its international operations.
Why this matters: This is a named migration from a specific legacy analytics platform to an operational lakehouse architecture, with the target components and affected reporting workloads described in detail.
Migration timeline
| Date or stage | Milestone | What changed | Evidence status |
|---|---|---|---|
| Legacy state | Source condition | Global analytics and reporting relied on on-premises SAP BW on HANA. | Source-stated predecessor |
| Implementation | Migration milestone | SAP and other data were moved into a OneLake and lakehouse architecture with Azure Databricks processing. | Source-stated implementation |
| Operational state | Production milestone | Power BI Direct Lake and governed self-service reporting operate on the new platform. | Source-stated operating state |
| 24 Apr 2026 | Evidence milestone | Microsoft published the current customer account. | Dated primary evidence |
Workload migration matrix
| Workload | Predecessor | Destination | Status by 24 Jul 2026 |
|---|---|---|---|
| Enterprise reporting and analytical data models | SAP BW on HANA | Microsoft Fabric Lakehouse and OneLake | Operational |
| Data engineering, transformation and advanced processing | BW/HANA-centred processing | Azure Databricks integrated with Fabric | Operational |
| Business intelligence and self-service reporting | Legacy reporting workflows | Power BI Direct Lake and governed semantic models | Operational |
| Broader enterprise data-product expansion | Fragmented source-specific delivery | Reusable governed lakehouse products | Continuing expansion; not claimed complete |
Implementation and architecture
- Microsoft Fabric OneLake provides the common storage and governance plane.
- Azure Databricks supports data engineering and complex transformation workloads.
- Power BI Direct Lake reduces the need for duplicated reporting extracts and supports faster access to governed models.
- The architecture combines SAP and non-SAP data rather than treating the migration as a simple one-for-one database copy.
- Performance, adoption and productivity outcomes remain attributed customer and Microsoft claims.
Known unknowns and contradictions
- The exact production cutover date.
- Whether SAP BW was fully decommissioned or retained for historical or residual processes.
- The complete list of migrated reports, models and source systems.
- The final boundary of the continuing global data-product rollout.
No missing fact is inferred to convert the operational analytics migration into a complete retirement of every SAP analytics component.
PlatformTrace analysis
The source provides a clear before-and-after architecture and describes the target as implemented and operational. It is therefore stronger than a platform-selection or proof-of-concept announcement.
The correct boundary is an enterprise analytics replatform from SAP BW on HANA to a Fabric and Databricks lakehouse. The evidence does not establish formal retirement of SAP BW or completion of every later data-product expansion.
Evidence ledger
- Microsoft customer story, 24 April 2026
Direct PERI and implementation evidence identifies SAP BW on HANA, the Fabric and Databricks target architecture, the global analytics workload and current production use.
Corrections and updates
24 July 2026 — Initial Verified long-format dossier published after complete five-lane intake, central filter reconciliation and fresh primary-source reopening. Later milestones will be appended rather than silently replacing this state.