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Enterprise data governance : reference & master data management, semantic modeling / Pierre Bonnet.

By: Material type: TextTextPublisher: London : ISTE ; 2010Publisher: Hoboken, NJ : ISTE Limited, 2010Description: xliv, 288 pages : illustrations ; 24 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9781848211827
Subject(s): DDC classification:
  • 658.478 22 B.P.E
Online resources:
Contents:
A company and its data -- Strategic aspects -- Taking into account business software -- Return on investment -- MDM maturity levels and the model-driven MDM -- Data governance functions -- Organizational aspects -- The semantic modelling framework -- Semantic modeling procedures -- Logical data modeling -- Organization modeling -- Technical integration of the MDM.
Summary: In an increasingly digital economy, mastering the quality of data is an increasingly vital yet still, in most organizations, a considerable task. The necessity of better governance and reinforcement of international rules and regulatory or oversight structures (Sarbanes Oxley, Basel II, Solvency II, IAS-IFRS, et cetera.
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Includes bibliographical references and index.

A company and its data -- Strategic aspects -- Taking into account business software -- Return on investment -- MDM maturity levels and the model-driven MDM -- Data governance functions -- Organizational aspects -- The semantic modelling framework -- Semantic modeling procedures -- Logical data modeling -- Organization modeling -- Technical integration of the MDM.

In an increasingly digital economy, mastering the quality of data is an increasingly vital yet still, in most organizations, a considerable task. The necessity of better governance and reinforcement of international rules and regulatory or oversight structures (Sarbanes Oxley, Basel II, Solvency II, IAS-IFRS, et cetera.

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