For Analytics Lead
You own decisions made on the data. We help you give the rest of the company analytics they trust, and the platform to keep up when the questions get harder.
The shape we recognize.
- A data warehouse that does the job today and worries you for the next 18 months.
- Dashboard sprawl: 200 reports, 30 owners, no shared inventory.
- A self-service vs governance argument that gets re-litigated every quarter.
- Time-to-insight measured in business-days, not hours.
What we ship for you.
- Modernize to Microsoft Fabric or Synapse where it earns its keep, not because it is new.
- Audit the report sprawl, consolidate ruthlessly, and migrate to a single trusted workspace.
- Resolve the governance vs self-service tension with concrete tooling, not a memo.
- Cut time-to-insight by a measurable factor and instrument it so it stays cut.
What an engagement typically looks like.
Report audit and consolidation
Inventory the existing report sprawl, identify the twenty percent that is actually used, and consolidate into a single trusted Power BI workspace with a governed access model.
Platform modernization
Move the data warehouse to Microsoft Fabric or Synapse where it earns its keep. Phased migration with parallel-run periods so reporting continuity is maintained throughout.
Embedded data engineer
Senior data engineer or analyst working alongside your team for a defined window to accelerate a backlog of pipeline, governance, or reporting work.
What it looks like when it works.
faster time-to-insight after moving from manual reporting to governed self-service analytics
of Power BI deployments show measurable adoption increase within 90 days when designed around actual user workflows
of enterprise analytics spend typically goes to reports opened fewer than once per month
reduction in decision latency when operational dashboards replace weekly report distribution cycles
Sound like the conversation you need to be having?
Tell us what you are trying to change. We will either be useful, or point you to who would be.