THE DATA EXPLOSION RESULTING FROM THE DIGITAL TRANSFORMATION OF RECENT YEARS HAS ELEVATED DATA GOVERNANCE TO A STRATEGIC ACTIVITY FOR BUSINESSES, TREATING DATA AS A VALUABLE ASSET.

The implementation of this system has encouraged the emergence of new opportunities such as supporting new business models, generating new sources of revenues, ensuring smooth business execution, better supporting improved decision making… but also raising new risks and regulations.

Executives and their teams continue to face major operational challenges (people, process, technology) in managing effectively this “new asset” and ensuring the full benefits of it.

Data governance has contributed to the emergence of Artificial Intelligence, which thrives on quality data. Today, AI can in turn play a role in the emergence of a new form of augmented data governance.

In this white paper, we look at the challenges that remain in data governance and set out the main ways in which AI can contribute to data collection and analysis. In the light of these increasingly numerous and rapid digital developments, we make several proposals to facilitate the ongoing evaluation of the data governance system and the decision-making process.
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