Data Governance: Governing data for sustainable business

by Abdelaziz Khadraoui, Alisdair McKenzie, Alison Holt, Beenish Saeed, Benoit Aubert, David Sutton, Frederic Gelissen, Geoff Clarke, Ming Li, Nathalie de Marcellis-Warin, Rohan Light, Rose Pan

Length: 150 pages
Edition: 1
Language: English
Publisher: BCS
Publication Date: 2020-01-30
ISBN-10: 178017375X
ISBN-13: 9781780173757
Sales Rank: #7371946 (See Top 100 Books)

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Print Book Look Inside

Every week brings news of an organisation that has distributed data that shouldn’t have been shared, or has lost out to a competitor who is using data to drive business in an innovative way. Data is fundamentally changing the nature of businesses and organisations and the mechanisms for delivering products and services. This book is a practical guide to developing strategy and policy for data governance, in line with the developing ISO 38505 governance of data standards and best practice frameworks. It will assist an organisation wanting to become more of a data driven business by explaining how to assess the value, risks and constraints associated with collecting, using and distributing data.

Front Cover
Half-Title Page
BCS, The Chartered Institute for It
Title Page
Copyright Page
Contents
Figures and tables
Authors
Abbreviations
Preface
Introducing the terminology used in this book
Introducing the authors
Introducing the standards referred to in this book
Navigating the book
Planning your journey
Part 1: The Requirement to Govern Data
    What is data?
    Data governance or data management?
    1. Data Collection Through The Ages
        Census data
        Health data
        Traditional data-heavy industries
        Modern day data-enabled businesses
        Summary
    2. Incentives and Disincentives for Collecting and Sharing Data
        A matter of trust
        Impact for directors
        Opportunities for the data-driven business
        Risk
        Regulation
        Summary
    3. The Theory Behind Governing Data
        38505-1 application of ISO/IEC 38500 to the governance of data
        38505-2 implementing a data strategy
        Summary
    4. Governing Data: Dealing With Connectivity
        Issues with a connected world
        Addressing issues of the connected world
        Summary
        Further reading
Part 2: Data Accountability
    Quick recap
    Data accountability map points
    5. Collect
        Value
        Risk
        Constraints
        Data collection: case study
        Comparison of the two cases
        Summary
    6. Store
        Applying the principles of governance
        Summary
    7. Decide
        The value of data
        Automated decision making
        The governance of decision making
        The data value chain
        Summary
    8. Report
        Report: theory
        Report: practice
    9. Distribute
        Models for distributing data
        Summary
    10. Dispose
        Why bother?
        Candidates for data disposal
        Policy for data disposal
        Identification through the report activity
        External triggers for data disposal
        Permanent removal
        Archiving data
        Balancing value, risk, constraint
        Summary
Afterword
Appendix A Governing Data: Dealing With Regulations
    The challenge of data governance in complex regulated environments
    Key ontological concepts
    Steps required to build the map
    Using ontology to improve regulatory data governance
    Identifying the concepts to create a map
    Identifying the rules
    Identifying the roles
    Identifying the inconsistencies or gaps
    Development of a global vision of regulatory constraints
    Assessing the impact of legislative change
    Moving forward
References
Glossary
Index
Back Cover