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Analytics governance

Metric Definition Alignment:
plan the implementation.

Help business and data owners identify the specific definition that needs agreement.

DISCOVERY

Answer the questions
that shape the build.

What decision does the metric support? Which population and dates apply? Who owns the definition?

Do not choose one report as correct without authority or hide a real business distinction behind a single label.

We use these answers to agree on integration boundaries, responsible reviewers, access controls and a definition of done. The proposal identifies dependencies and what is included before implementation begins.

FIRST IMPLEMENTATION

Prove the useful part.
Then expand deliberately.

Pilot one disputed metric and reconcile sample records through each calculation path.

Measure the result

Measure unexplained differences, undocumented filters, inconsistent definitions and reconciliation effort.

Prepare for everyday operation

Publish the approved metric definition and link affected reports to remediation work.

Document the owner, support path and recovery procedure. Define how the workflow behaves when information is incomplete, access fails or a reviewer declines the proposed result. Agree on what needs fresh validation after a model or integration change.

CHOOSE THE RIGHT SUPPORT

Build it. Build with us.
Or have us manage it.

The workflow stays centered on your business. The engagement determines who learns, implements and operates it.

DIY

Your team owns the build.

Start with AI workflow training and the Factory Line source package. Workshop support is available when you need feedback.

Explore the $2,500 package ↗
DFY

We manage the foundation.

Include all the learning and guidance, with ownership of agreed operations and major implementation decisions.

Explore managed delivery ↗
START WITH YOUR WORK

Where is your team
doing too much by hand?

Bring a process, a bottleneck, or an idea. We'll help you decide what to automate, what to keep under human review, and where to begin.