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

By: Material type: TextSeries: ISTEPublication details: London : ISTE ; Hoboken, NJ : Wiley, 2010.Description: 1 online resource (xliv, 288 pages) : illustrationsContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9781118622513
  • 1118622510
  • 9781118622407
  • 1118622405
  • 1299315615
  • 9781299315617
Subject(s): Additional physical formats: Print version.: Enterprise data governance.DDC classification:
  • 658.4/78 22
LOC classification:
  • HF5548.37 .B666 2010
Online resources:
Contents:
A company and its data -- Strategic aspects -- Taking software packages into account -- Return on investment -- MDM maturity levels and model-driven MDM -- Data governance functions -- Organizational aspects -- The semantic modeling framework -- Semantic modeling procedures -- Logical data modeling -- Organization modeling -- Technical integration of an 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, etc.) imposes on enterprises the need for greater transparency and better traceability of their data. All the stakeholders in a company have a role to play and great benefit to derive from the overall goals here, but will invariably turn towards their IT department in search of the answ.
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Includes bibliographical references (pages 285-286) and index.

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

Print version record.

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, etc.) imposes on enterprises the need for greater transparency and better traceability of their data. All the stakeholders in a company have a role to play and great benefit to derive from the overall goals here, but will invariably turn towards their IT department in search of the answ.

English.

John Wiley and Sons Wiley Online Library: Complete oBooks

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