How to do things with data
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How to do things with data

Setting off towards the data-driven business

About the Book

Data doesn’t just describe or reflect reality, it can change reality. This book contains an exploration of this effect – what is it that data does, what is it about the massive growth and availability of data that changes our world, and what does this imply for us. How to develop and use data more powerfully, how to make your organization more data-driven, and why it matters.

About the Author

Richard Veryard
Richard Veryard

Richard is a business data architect based in London.

Read his architecture blog at http://rvsoapbox.blogspot.com/

Table of Contents

  • Preface
    • Status
    • Acknowledgements
    • Outstanding Issues / Questions for Reviewers
  • Introduction
    • What is this book about?
    • How to do things with this book
  • What can data do for us?
    • Information Superiority
    • Customer Centricity
    • Product Leadership
    • Operational Excellence
    • Information Superiority for Society
  • What does data do?
    • Vigilant Information Systems
    • The Performativity of Data
    • The Limits of Data
    • Boundary Objects and Artful Integration
    • Who Shall Be Master?
  • What does being data-driven achieve?
    • Which data?
    • The Leverage of Data
    • From Decisions to Business Improvement
    • The Data-Driven Business
    • The Agile Business
    • From Business Transformation to Ecosystem Transformation
  • What does an organization need to become data-driven?
    • Four Dimensions
    • Reach
    • Richness
    • Agility
    • Assurance
    • All Four Dimensions
  • Designing data
    • Data by Design
    • Data Architecture
    • Capability-Based Planning
    • Data Migration
  • Mastering data
    • Data Maturity
    • Data Governance
    • Relationship between Data and Knowledge: Organizational Intelligence
    • Data Ethics
  • Just about managing
    • Data Management
    • Master Data Management
    • Goals, Questions, Metrics
    • Economic Value of Data
    • Data Quality
    • Quality of Insight
    • Data about Data about Data
  • How can we get more value from data?
    • Establishing the Roadmap
    • Culture Shift
    • And finally
  • Frameworks and Checklists
    • Data Capability Model
    • Structuring the Transformation Programme
    • Business Intelligence Strategy
    • MI/BI Opportunities
    • Data Impact Checklist
    • Data Migration Checklist
  • Endnotes
    • Glossary
    • Further Reading
  • Notes

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