Data centricity is a part of good strategy.

It is a work-in-progress management strategy framework that provides guidance on how big data analytics and artificial intelligence can be incorporated into the governing policy and corresponding actions of a good^[1] business strategy.

What is data centricity?

Three main components of data centricity are as follows:

Data gathering and maintenance

Data collection, creation, and infrastructure.

Modeling and communication

Data models, data products, and visualization.

Data mindset and focus

Talent, focus, and an open culture.

What data centricity is not

It is not an off-the-shelf, ready to deploy and use toolset. It is not a strategy. It is not a set of best practices or rules to follow for success. It is not magic.

Soon to be updated.

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1. Rumelt, Richard P. (2011). Good strategy, bad strategy: The difference and why it matters. New York: Crown Business.↩

Data centricity is a framework for incorporating data into business strategy, a work-in-progress developed by Gorkem Turgut (G.T.) OZER.

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