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relational and object-oriented concepts, configure business
rules and validation controls, add documentation, etc.

Semantic data modeling associated with the Model-driven
MDM allows business users to be involved from day one in
your data governance program. With a model-driven solution
they can easily collaborate on data modeling and quickly
achieve a description of their data in their shared business
language because “what you model is what you get”.

While data modeling requires effort, the realization of a
mutual and shared understanding for the whole business
will become of recurring importance for a pro-active data
governance program. It is the first step to building the best
version of the truth and establishing a unique reference and
master data repository with active data governance
capabilities.

Power to business users

Once data models have been designed, your data
governance journey is not over. Building a unique
description of your data is useless if business users cannot
gain control of data itself. This means that to be active, an
MDM/data governance solution must provide not only a
central repository for storing the truth, but also a full set of
data management features and a user experience for
collaboration that maximizes adoption.

Pierre Bonnet proposes an exhaustive description of the
core capabilities that business teams need to apply for pro-
active governance of their data.

It starts with a rich user experience in order to provide
data owners, stewards and managers with a collaborative
environment for managing data and improving quality over
time. It also addresses key issues such as version control,