Snowflake · Power BI · Microsoft Fabric

Run your data and reporting estate for less.

We find the reports, models and platform spend you no longer need. Then we rebuild what stays on Snowflake and Power BI, with the savings measured, not promised.

BI estate scorecardSample
Published reports412
Not opened in 90 days131
Near-duplicate report groups38
Semantic models refreshed daily96
Models with no active report21
Illustrative sample only. Your scorecard comes from your own environment.

Where the cost hides

Reporting estates grow faster than anyone cleans them.

Reports nobody opens

Many estates keep reports no one has opened in months. Each one still refreshes, still breaks, and still needs someone to fix it.

The same number, five ways

Copies of the same report and model drift apart. People stop trusting the numbers and ask for one more report.

Bills that grow quietly

Refreshes, DirectQuery traffic and idle warehouses add Snowflake and Fabric cost that no one owns.

What we do

Three ways we help

Each one has a fixed scope and a clear result. Most clients start with the assessment.

4 weeks · fixed price

BI Cost Assessment

We measure your Power BI and Snowflake estate and show what to keep, merge and retire.

  • Usage and duplicate scan
  • Savings shown as low, likely and high
  • A phased plan you can act on
About the assessment

8–16 weeks · fixed per phase

Rationalization and semantic layer

We rebuild what stays on shared, certified models and retire the rest, with tests that prove the numbers match.

  • Fewer reports and models to run
  • One definition for each metric
  • Safe retirement, nothing lost
How it works

3–4 weeks · fixed price

AI-ready metrics

We define your core metrics as Snowflake semantic views so people can ask questions in plain words and get governed answers.

  • Core metrics, defined once
  • Working question-and-answer agent
  • Access rules kept in place
How it works

Our method

Measure first. Then change only what the numbers support.

  1. Step 1

    Assess

    Scan reports, models, refreshes, usage and Snowflake workload. Read-only access.

  2. Step 2

    Design

    Group reports into keep, merge, retire or answer-by-question. Agree the plan with report owners.

  3. Step 3

    Rebuild

    Move what stays onto shared models and semantic views. Test every number before anything is retired.

  4. Step 4

    Keep clean

    Quarterly checks catch new duplicates and cost drift before they grow.

Read our approach

Who we help

Built for the people who own the numbers

BI and analytics leaders

Shrink the backlog and the number of things your team has to keep alive.

Data platform leaders

Get Power BI and Snowflake working from one set of definitions, ready for AI.

Finance leaders

See what reporting costs to run, and a savings case you can check.

Platforms

Where we work

SnowflakeSemantic viewsCortex AnalystStreamlitPower BIMicrosoft FabricDAX and Power QuerySQL ServerAzureRow-level securityData masking

How much is your reporting environment really costing you?

In four weeks we measure your reports, models, refreshes and platform spend, and show where cost and complexity can come out. Fixed price, agreed up front.