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Analytics operations

Report Request Intake:
plan the implementation.

Help teams agree on the purpose before choosing fields and charts.

DISCOVERY

Answer the questions
that shape the build.

What decision will change because of this report? Who needs to see it? What would make the result useful and trustworthy?

Do not promise that unavailable data exists or create sensitive reporting access from a general request.

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 request and compare the brief with questions raised during report development.

Measure the result

Measure scope changes, ambiguous metrics, duplicated reports and discovery effort.

Prepare for everyday operation

Save the accepted brief and route missing definitions or permissions to their owners.

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.