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DAMA-DMBOK, Tweede Editie, Herzien: Data Management Body of Knowledge
Paperback
Business GeneralGeneral Computers
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Publisher: Technics Publications
Pages: 580
Weight: 2.92
Height: 1.17 Width: 8.50 Depth: 11.00
Language: Dutch
De Data Management Body of Knowledge (DAMA-DMBOK2) geeft een volledig beeld van de uitdagingen, de complexiteit en de waarde van effectief datamanagement.
Organisaties van nu erkennen dat datamanagement bepalend is voor hun succes. Ze weten dat data waarde heeft en ze willen die waarde benutten. Naarmate ons vermogen en onze wens om data te creëren en te gebruiken toenemen, groeit ook de behoefte aan betrouwbare werkwijzen voor datamanagement.
De tweede editie van de DAMA Guide to the Data Management Body of Knowledge is een actualisatie en uitbreiding van het zeer succesvolle DMBOK1. Het is een toegankelijk en gezaghebbend naslagwerk, geschreven door vooraanstaande denkers in het vakgebied en uitgebreid beoordeeld door DAMA-leden. DMBOK2 brengt materiaal samen dat de uitdagingen van datamanagement uitvoerig beschrijft en laat zien hoe die kunnen worden aangepakt, door:
- het definiëren van een set leidende principes voor datamanagement en te beschrijven hoe deze principes binnen de functionele gebieden van datamanagement kunnen worden toegepast;
- het bieden van een functioneel raamwerk voor de implementatie van bedrijfsdatamanagement, met breed toegepaste werkwijzen, methoden en technieken, functies, rollen, resultaten en metingen;
- het vaststellen van een gemeenschappelijk vocabulaire voor datamanagementconcepten, dat de basis vormt voor best practices voor datamanagementprofessionals.
DAMA-DMBOK2 biedt datamanagement- en IT-professionals, bestuurders, kenniswerkers, docenten en onderzoekers een raamwerk om hun data te beheren en hun informatie-infrastructuur naar een hoger volwassenheidsniveau te brengen, op basis van de volgende principes:
- Data is een bedrijfsmiddel met unieke eigenschappen
- De waarde van data kan en moet in economische termen worden uitgedrukt
- Data beheren betekent de datakwaliteit beheren
- Om data te beheren is metadata nodig
- Om data te beheren is planning nodig
- Datamanagement is afdelingsoverstijgend en vereist uiteenlopende vaardigheden en expertise
- Datamanagement vereist een organisatiebreed perspectief
- Datamanagement moet rekening houden met verschillende perspectieven
- Datamanagement is beheer van de datalevenscyclus
- Verschillende soorten data stellen uiteenlopende eisen aan hun levenscyclus
- Data beheren omvat het beheersen van de risico's die aan data verbonden zijn
- Datamanagementvereisten moeten bepalend zijn voor beslissingen over informatietechnologie
- Effectief datamanagement vereist commitment van de top
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