Stopping a Project Takes Courage — CPMAI Makes It a Requirement

Stopping a Project Takes Courage — CPMAI Makes It a Requirement
In the CPMAI methodology, Phase II — Data Understanding is the project's first official Go/No-Go gate. To move past this phase, the data must answer five questions: Does it meet the defined requirements? Is there sufficient volume? Is it balanced and representative? Is it current enough? Does it cover all necessary scenarios?
This assessment leads to one of three outcomes. If the data is ready, the project advances to Phase III. If it is partially insufficient, additional sources are pursued or the scope is revisited back at Phase I. If critical gaps cannot be resolved, the project is paused.
In a real-world case, a bank discovered during exploratory data analysis that ninety percent of its training data came from males aged 25 to 45. Because this was caught before modeling began, an unfair model never reached production. Had the exploratory analysis been skipped, the problem would only have surfaced after deployment.
Data lineage is an inseparable part of this process. When an auditor asks where the training data came from, the answer should already be documented — not searched for in the moment.
Stopping a project is not failure. Continuing when the data isn't ready is.
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Видео Stopping a Project Takes Courage — CPMAI Makes It a Requirement канала Erman Aykaç