02683nam 2200541 a 450 991101895280332120200520144314.01-118-62251-01-299-31561-51-118-62240-5(CKB)2560000000100642(EBL)1143633(OCoLC)830161620(SSID)ssj0000833143(PQKBManifestationID)11418300(PQKBTitleCode)TC0000833143(PQKBWorkID)10935490(PQKB)10896407(MiAaPQ)EBC1143633(EXLCZ)99256000000010064220100415d2010 uy 0engur|n|---|||||txtccrEnterprise data governance reference & master data management, semantic modeling /Pierre BonnetLondon ISTE ;Hoboken, N.J. ISTE Ltd.20101 online resource (334 p.)ISTEAdapted and updated from Management des donnees de l'entreprise. Master Data Management et modelisation semantique published 2009 in France by Hermes Science/Lavoisier.1-84821-182-1 Includes bibliographical references and index.A company and its data -- The strategic aspects -- Taking into account business software -- Return on investissement -- MDM maturity levels and the model-driven MDM -- Data governance functions -- Organisational aspects -- The semantic modelling framework -- Semantic modeling procedures -- Logical data modeling -- Organisation 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, 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 answISTEEnterprise data governance :reference and master data management, semantic modelingData protectionData protection.658.4/78Bonnet Pierre300555MiAaPQMiAaPQMiAaPQBOOK9911018952803321Enterprise data governance2003183UNINA