Migration without unnecessary reinvention.
Whether you're moving from SSRS, SSIS, SAP BusinessObjects or Excel, we help modernise reporting and data platforms with Power BI, Microsoft Fabric and Databricks. Without disrupting the parts of the business that already work.
SSRS → Power BI
SSRS is frozen on the 2022 release line. No new versions, no new features, just security patches until January 2033. We move your paginated reports in SSRS, subscriptions, and row-level security to Power BI or Power BI Report Server, without forcing a full rebuild from scratch.
Assessment first. We find out what's actually used before we touch anything: what transfers cleanly, what needs rework, and what should just be retired.
We've written a full breakdown of this specific path, the SSRS to Power BI migration guide, if you want the detail. Otherwise, keep scrolling for the rest of what we cover.
SSIS → Fabric Dataflows / Databricks Pipelines
Brittle package chains nobody dares to edit, replaced with orchestrated, monitored pipelines, built natively in Microsoft Fabric Dataflows Gen2 and Pipelines, or Databricks Lakeflow Declarative Pipelines, depending on what's already in your stack.
Same medallion architecture pattern: Bronze, Silver, Gold, whichever platform you land on. The orchestration logic and transformation rules buried inside old SSIS packages get documented and rebuilt properly, not just lifted across as-is.
If you're already on Fabric and still running Dataflow Gen1, that's its own quiet migration worth having. As of April 2026, Gen2 is the only version Microsoft creates new dataflows on. Gen1 still works, but Gen2 adds multiple output destinations, proper monitoring through the Monitoring Hub, pipeline integration, and notably faster performance through dedicated compute.
We've written a full breakdown of this specific decision, Dataflow Gen1 vs Gen2: should you migrate or stay put?, if you want the detail before committing either way.
SAP HANA → Power BI
The SAP HANA to Power BI connection is where many ERP integration projects quietly stall. A raw DirectQuery connection to a production HANA environment carries genuine licensing and performance risks that need assessing before anything is built.
Getting this right starts with the architecture: your SAP licence type, the data volumes involved, and whether the right path is a governed OData/CDS layer, a staged data warehouse, scoped DirectQuery against Calculation Views, or Fabric Mirroring via SAP Datasphere. The integration layer gets defined properly first — then existing report logic and business rules are mapped to a clean Power BI semantic model. Not before the architecture is confirmed. Not after it has already been built the wrong way.
We've written a full breakdown of this specific path, the SAP HANA to Power BI guide, if you want the detail. Otherwise, keep scrolling for the rest of what we cover.
SSAS → Microsoft Fabric
SSAS still works, but Microsoft's new analytics investment is going into Fabric, not Analysis Services. We move Tabular models to Fabric semantic models, with the relationships, measures, and security roles carried across rather than rebuilt from a blank canvas.
The two models behave differently under the hood, so this isn't a copy-paste job. Multidimensional cubes need their MDX logic re-expressed in DAX before they'll work in Fabric at all, while Tabular models translate more directly. Either way, Power Query data sources defined inside the old model and local domain users sitting in your security roles are two of the more common snags that catch people out partway through.
Done properly, you get Direct Lake querying straight against OneLake, no more separate refresh cycles to babysit, and one semantic model your reports, Excel users, and anything else downstream can all share.
Assessment before action. Always.
Assess what's actually used
Execution logs and usage data first, not assumptions. Reports nobody's opened in 12 months get retired, not migrated.
Classify before you migrate
High-usage, low-complexity work moves first. Custom-code-heavy work gets scoped separately, on its own timeline.
Run old and new in parallel
Validated side-by-side before a single cutover, not a risky big-bang weekend migration.
Governance throughout
A single source of truth for what's moved, what hasn't, and who's trained on what.
Not sure how urgent your migration is?
That's the first conversation, not the last one. No pitch, no pressure, just a clear look at what you're actually running and what your real options are.
Book a free discovery call