Franck Bardol*
Associate Professor of Computer Science, ISEP and Microsoft Artificial Intelligence School, Paris, France
*Corresponding Author: Franck Bardol, Associate Professor of Computer Science, ISEP and Microsoft Artificial Intelligence School, Paris, France.
Received: November 06, 2020; Published: January 22, 2021
Any company can become Data Driven. From now on, the difficulty is no longer technical. It is strategic. Indeed, a plethora of sophisticated and successful tools support companies on this path. On the other hand, in spite of the quantity of books and research on the subject, there is still a lack of a simple and precise roadmap to guide and drive the digital strategy in the long term.
This roadmap is the synthesis of the multiple research on the subject and tries to draw the best from the practices of innovative companies.
Our roadmap consists of three steps. First, Unification of data sources, then Process optimisation and finally Metamorphosis. Unification - Optimisation - Metamorphosis
The roadmap shows how learning algorithms should be oriented to transform the business in small incremental steps that together produce powerful change.
It also specifies how the data must be assembled together in order to harness the full power of the algorithms. This roadmap is the synthesis of the multiple research on the subject and tries to draw the best from the practices of innovative companies.
Keywords: Digital Transformation; Digital Strategy; Data Driven; Artificial Intelligence; Machine Learning, Algorithms; Big Data; Client - Data - Product Loop; Predictive Technology; Data Lake; Open Source; Single Source of Truth; Unification; Optimisation; Metamorphosisb
Citation: Franck Bardol. “The Three Stages of the Data Driven Strategy".Acta Scientific Computer Sciences 3.2 (2021): 10-14.
Copyright: © 2021 Franck Bardol. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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