Bonnet Enterprise Data Governance

Reference and Master Data Management Semantic Modeling
1. Auflage 2013
ISBN: 978-1-118-62240-7
Verlag: John Wiley & Sons
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 320 Seiten, E-Book

In an increasingly digital economy, mastering the quality of datais an increasingly vital yet still, in most organizations, aconsiderable task. The necessity of better governance andreinforcement of international rules and regulatory or oversightstructures (Sarbanes Oxley, Basel II, Solvency II, IAS-IFRS, etc.)imposes on enterprises the need for greater transparency and bettertraceability of their data.
All the stakeholders in a company have a role to play and greatbenefit to derive from the overall goals here, but will invariablyturn towards their IT department in search of the answers. However,the majority of IT systems that have been developed withinbusinesses are overly complex, badly adapted, and in many casesobsolete; these systems have often become a source of data orprocess fragility for the business. It is in this contextthat the management of 'reference and master data' orMaster Data Management (MDM) and semantic modeling can intervene inorder to straighten out the management of data in a forward-lookingand sustainable manner.
This book shows how company executives and IT managers can takethese new challenges, as well as the advantages of using referenceand master data management, into account in answering questionssuch as: Which data governance functions are available? How can ITbe better aligned with business regulations? What is the return oninvestment? How can we assess intangible IT assets and data? Whatare the principles of semantic modeling? What is the MDM technicalarchitecture? In these ways they will be better able todeliver on their responsibilities to their organizations, andposition them for growth and robust data management and integrityin the future.

Autoren/Hrsg.

Bonnet, P.