How I Created a Data Science Project Following a CRISP-DM Lifecycle | by Gustavo Santos | Nov, 2024


An end-to-end project using the CRISP-DM framework

Towards Data Science
Image created by AI. OpenAI. CRISP-DM Project Lifecycle Framework for Data Science. DALL-E, 2024.

CRISP-DM stands for Cross-Industry Standard Process for Data Mining, a data mining framework open to anyone who wants to use it.

Its first version was created by IBM as Analytics Solutions Unified Method for Data Mining (ASUM-DM). Then, a group of companies developed and evolved it to CRISP-DM, which nowadays is one of the most known and adopted frameworks in data science.

The process consists of 6 phases, and it is flexible. It is more like a living organism where you can (and probably should) go back and forth between the phases, iterating and enhancing the results.

The phases are:

Business Understanding

Data Understanding

Data Preparation

Modeling

Evaluation

Deployment

The small arrows show a natural path from Business Understanding to Deployment—where the interactions occur directly—while the circle denotes a cyclic relationship between the phases. This means that the project does not end with Deployment but can be restarted due to new business…

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