Data Management: a gentle introduction. Bas van Gils

Data Management: a gentle introduction - Bas van Gils


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target="_blank" rel="nofollow" href="#litres_trial_promo">16.6 Relationship to other capabilities

       16.7 Visual summary

       17 RISK AND SECURITY

       17.1 Risks and risk mitigating measures

       17.2 ISO standards

       17.3 Data security management

       17.4 Training and certification

       17.5 Relationship to other capabilities

       17.6 Visual summary

       18 BUSINESS INTELLIGENCE & ANALYTICS

       18.1 Defining business intelligence and analytics

       18.2 Common system types

       18.3 Structuring data

       18.4 Self-service BI

       18.5 Relationship to other capabilities

       18.6 Visual summary

       19 BIG DATA

       19.1 Definition of big data

       19.2 Dealing with big data

       19.3 Technical capabilities and architecture

       19.4 Relationship to other capabilities

       19.5 Visual summary

       20 TECHNOLOGY

       20.1 People are key

       20.2 Observations about technology

       20.3 Technology and the functional areas of DMBOK

       20.3.1 Data governance and stewardship

       20.3.2 Metadata

       20.3.3 Modeling

       20.3.4 Architecture

       20.3.5 Integration

       20.3.6 Reference and master data

       20.3.7 Quality

       20.3.8 Security

       20.3.9 Business intelligence

       20.3.10 Big data

       20.4 Technology adoption

       20.5 Visual summary

       21 DATA (HANDLING) ETHICS & COMPLIANCE

       21.1 Ethics in data

       21.2 Ethical handling of data

       21.2.1 Ethical principles behind data protection

       21.2.2 The data lifecycle

       21.2.3 Using ethical principles in the data lifecycle

       21.3 The relationship between ethics and governance

       21.4 Visual summary

       PART II: PRACTICE

       22 INTRODUCTION

       23 BUILDING THE BUSINESS CASE FOR DATA MANAGEMENT

       23.1 The need for a business case

       23.2 Qualitative and quantitative business case

       23.3 Incremental approach to building a business case

       24 KICK-STARTING DATA QUALITY MANAGEMENT

       24.1 Top-down approach

       24.2 A motivation for starting small

       24.3 Setting up your first experiments with data quality management

       24.4 Scaling up after successful experimentation

       25 FINDING DATA OWNERS AND DATA STEWARDS

       25.1 Top-down and bottom-up

       25.2 Ownership/stewardship models

       25.3 Finding owners and stewards

       26 THE ROLE OF TRAINING

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