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                           necessary roles for reference and master data governance
                           (data steward, data owner, etc.).

                              Part Three presents the methods and techniques that an
                           IT department must master in order to deploy an MDM
                           system:

                               –  Chapter 8, The  Semantic Modeling Framework,
                           details the semantic modeling objectives, their foundations
                           and methods for a company to  succeed at this modeling,
                           indispensable for MDM;

                               –  Chapter 9 presents Semantic Modeling Procedures for
                           the construction of a sustainable and rich data model,
                           independent of an organization, capable of absorbing
                           evolutions   and    offering   a   foundation    of   the   IS
                           transformation;

                               –  Chapter 10,  Logical Data Modeling, presents the
                           procedures for logical modeling applied to  reference and
                           master data: loose coupling of data and derivation into the
                           storage techniques used by the MDM system;

                               –  Chapter 11 presents procedures for  Organization
                           Modeling, i.e. data approval processes (workflows) and  use
                           cases as well as their derivation into the logical model;

                               –  Chapter 12, Technical Integration of an MDM system,
                           details the  technical integration of the repository with the
                           rest of the IT system. It gives reference points for decision-
                           making under the control of IT architects.
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