Technology · Code
The analysis is code you can read, and keep.
Python and SQL, versioned, handed over with a walkthrough. No black box, no platform.
What we use it for
Three things the code is for.
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Analysis
The analysis itself
Profiling, the promo and forecast reads, the scoring model: Python on your exports, or SQL in your warehouse.
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Automation
The work your team repeats
The weekly pack, the quality check on every new export, the report built once and re-run.
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Handover
Code your analyst owns
One working session with the person who re-runs it, and a note on what would break it.
Seen in use
Where it ran, and what it returned.
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Nike
Product wall sorting model
Every wall re-sorted daily by a scoring model: $250k of incremental demand in the first 13 days.
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Corum
Automated quarterly reporting
One pipeline from Yardi into Power BI: 300 spreadsheets retired, 420 hours a year returned.
Questions
Can our team maintain it?
- Yes. Python and SQL, versioned, with a walkthrough.
- If nobody on your side can, the roadmap says so before we build.
Notebooks or a platform?
- Scripts, in a repository you own.
- Nothing installed on your side beyond Python.
What about our existing code?
- We read it first and build on it where it holds.
- We replace what is broken, and say which.
Bring one export to the call.
Thirty minutes tells you whether the audit will pay for itself.