Elements of Data Strategy
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Elements of Data Strategy

A Framework for the Analytics Manager

About the Book

As the world moves further into developing data and AI-powered solutions, a new challenge emerges. Leaders begin to recognize that such efforts can hardly come to fruition without a plan - the missing piece called data strategy.

Designing it falls into the hands of a new role - the data strategist. Managing such complex work requires a blend of skills across disciplines and applying them throughout an organization. This book defines the elements needed, their relationships and provides blueprints for conducting the required activities.

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  • Categories

    • Digital Transformation
    • Business Architecture
    • Consulting
    • Innovation Management
    • Artificial Intelligence
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About the Author

Boyan Angelov
Boyan Angelov

Boyan Angelov is a CTO and former data strategist. He has broad experience in applying novel approaches from systems thinking to complex data projects. 

Table of Contents

  • Introduction
    • Why did I write this book?
    • Who is this book for?
    • How is this book written?
    • How to read this book?
    • Systems 101
    • How technical does a data strategist need to be?
    • Defining data strategy
  • Part I: Due Diligence
  • Overview
  • Alignment with Business Strategy
    • Uncovering the Business Strategy
    • Steering Group Formation
  • Current State Analysis (CSA)
    • Auditing Existing Systems
    • Digital Maturity Assessment
  • Gap Analysis
    • Competitor Analysis
    • Ambition Level Setting
  • Summary
  • Part II: Design
  • Overview
    • Useful Analogies
    • The Influence Cascade
  • Use Cases
    • Ideation
    • Feasibility Study
    • Prioritization
    • Budgeting and Resource Estimation
  • Data Architecture and Technology
    • Target Data Architecture
    • Target Technology
  • Data Governance
    • Data Assets
    • Data Lineage
    • Data Ethics and Privacy
  • Operating Model
    • Organisational Structure
    • Data Team Models
    • Change Management
  • Summary
  • Part III: Delivery
  • Overview
  • Soft Agile
    • The Implementation Forest
    • Soft Agile Methods
  • Lean Data
    • The Knowledge Factory
    • Lean Data Methods
  • Impact Assessment
  • Portfolio Management
  • Summary
  • Conclusion
  • Interviews
    • Nicolas Averseng
    • Noah Gift
    • June Dershewitz
    • Martin Szugat
  • Appendix
    • List of acronyms and abbreviations
  • Notes

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