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xxxii Enterprise Data Governance

“data repositories”. This data is strategic, as it supports the
quality of business process by providing reference and
master information: pricing, typology of clients, product
description, organization description, financial structures,
regulatory conditions, etc. The patrimonial value of this data
is significant, as the transformation of systems is achieved
by regaining control over it.

To leverage this heritage, it is necessary to reactivate data
modeling techniques which have been known for some time
and modernize them to take into account new agility and
system transparency requirements. We will see how to act in
stages, by preserving what is already in place and then
beginning a progressive transformation of information
systems. This approach is based on Master Data
Management (MDM) and will make apparent the heritage
value of reference and master data that becomes available to
business users.

An MDM system resembles a data storage facility, like a
data warehouse in a business intelligence domain. However,
it is quite different in that it manages detailed and
synchronized data, in real time if necessary, with the rest of
the information system. MDM brings data governance
functions which are not present in business intelligence
systems: data archiving, version management, screen for
data authoring depending on the use contexts such as
languages or multi-channel, auditability or many others that
we will discover here.

Objective of this book
This book is intended for all the actors in charge of
information systems and involved in the transformation of
IT in order to improve its transparency.
General management must perceive the strategic benefits
of reference and master data governance functions. The