2. Relevance
- Data is everywhere
- Data hype: big data
- Data is passive
- Data has value, when used
- Data becomes a valuable asset
- Data has to be managed
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3. Data Management
- data management technologies
> data quality management
> (master) data management
> data security management
- data management organisation
> business processes, functions, authorization
= Data Governance
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4. Data Governance ?
What is Data Governance ?
How to do Data Governance ?
How to measure Data Governance ?
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5. Literature research
1 - What is Data Governance
> definition
2 – How to measure Data Governance
> organisation maturity model
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6. Body of Knowledge
- Germany : Otto & Weber 2011, Wende 2007
- UK : Gregory 2011, 2012, Begg 2009
- India : Kahtri & Brown 2010
- Finland : Korhonen 2013
- USA : alleen praktische ervaringen
- Best practices : DMBOK, COBIT
- Companies : IBM, SAP, Oracle, etc
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7. Definition Data Governance (DG)
- From Corporate GRC: Governance, Risk Management & Compliance
- set strategies for processes, people and technology
- to maximise the value of data assets
- by setup of organisation, responsibilities and authorization
- for the domains of data principles, data quality, metadata,
data access and data lifecycle
Merkus, 2015
Open University of the Netherlands
8. 2. Maturity Model (MM)
- Maturity Model method is commonly used
since maturity model for IT alignment (Luftman 2003 )
- Huner 2009, Becker 2009 , Poeppelbuss 2011
> method for designing Maturity Models
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9. 2. Components MM method
1. Basic model: maturity levels, domains, qualifications
2. Descriptive: assessment method and criteria
3. Prescriptive: recommendations for grow,
organisation grow paths
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