Fixed scopes. Measured results.

Start here · 4 weeks

BI Cost Assessment

For teams that suspect they run more reports, models and platform than they need, but can't prove it.

See the assessment

You get

• A scorecard of your whole Power BI estate
• Snowflake and Fabric cost tied to the reports that drive it
• A keep / merge / retire list, agreed with owners
• Savings as low, likely and high ranges
• A phased plan and a fixed quote for the next step

8–16 weeks · fixed per phase

Rationalization and semantic layer

We rebuild one business area at a time on shared, certified models. Old reports are archived only after the new numbers match.

You get

• Merged semantic models in Power BI
• Matching Snowflake semantic views where useful
• Rebuilt reports for what you keep
• Automated tests that compare old and new numbers
• Row-level security carried over and checked

3–4 weeks · fixed price

AI-ready metrics

AI assistants give wrong answers when every report defines a metric differently. We set your core metrics once, in Snowflake, so people and AI tools use the same rules.

You get

• 10 to 25 core metrics as Snowflake semantic views
• A working question-and-answer agent on those metrics
• Verified sample questions and answers
• Access rules kept in place

2 weeks · fixed price

Platform cost and security check

A focused review of the Snowflake warehouses and Fabric capacity behind your reports, plus who can see what.

You get

• Warehouse and capacity sizing advice
• Refresh and query patterns that cost the most
• Role, masking and row-level security review
• A short list of fixes, in priority order

Quarterly

Estate health check

After cleanup, estates grow back. A quarterly check keeps them lean.

You get

• A fresh scorecard each quarter
• New duplicates and unused content flagged
• Cost drift spotted early
• Top 10 actions for the next quarter