Data Management: a gentle introduction. Bas van Gils
href="#litres_trial_promo">26.1 People first, and the need for training
26.3 How to design a training program
27 SETTING UP A DATA MANAGEMENT POLICY
27.2 Typical structure for a data management policy
27.3 Setting up a data management policy
28 BUSINESS CONCEPTS AND THE CONCEPTUAL DATA MODEL
28.2 Definitions and conceptual data models
29 SETTING UP A METADATA REPOSITORY
29.1 The importance of metadata
29.2 Metadata repository architectures
29.3 Implementation strategies
29.3.1 Top-down metadata strategy
29.3.2 Bottom-up metadata strategy
29.3.3 Matching the strategy to the situation
30 LEVERAGING ENTERPRISE ARCHITECTURE
30.1 EA as a source of information
30.2 EA models and visualizations
30.3 Building effective solutions
32 A PRAGMATIC APPROACH TO DATA SECURITY
32.1 Motivation for a security framework
32.3 Security levels in business terms
32.4 The link to security measures and controls
33.3 Skills in the SFIA framework
33.4.3 Data owner, data steward
33.4.6 Business analyst, process analyst, and system analyst
33.5 Reflection and recommendation
34.1 Observations about big data adoption
34.2 Building a culture of innovation
34.3 Linking to data management defense
35 BUILDING A DATA MANAGEMENT ROADMAP
35.1 To roadmap or not to roadmap
35.2 The steps towards an effective roadmap