Data centricity is staying true to the data.

Generating insights from data is through modeling the data. The path from data to a model is through making assumptions. The more and stronger the assumptions are, the further away a model (and potentially the insights from it) is from the data.^[1]

What is data centricity?

Data centricity is a framework with a set of practices to help organizations stay true to their data.

Data

Sales, price, product review score...

Assumptions

Linearity, independence, ignorability...

Model

Regression, random forest, neural network...

What data centricity is not

It is not an off-the-shelf, ready-to-use package or library. It is not magic.

Soon to be updated.

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