Value-Driven Data
eBook - ePub

Value-Driven Data

Identifying, Communicating and Delivering Effective Business Solutions with Data

  1. 256 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Value-Driven Data

Identifying, Communicating and Delivering Effective Business Solutions with Data

About this book

Value-Driven Data explains how data and business leaders can co-create and deploy data-driven solutions for their organizations. Value-Driven Data explores how organizations can understand their problems and come up with better solutions, aligning data storytelling with business needs. The book reviews the main challenges that plague most data-to-business interactions and offers actionable strategies for effective data value implementation, including methods for tackling obstacles and incentivizing change. Value-Driven Data is supported by tried-and-tested frameworks that can be applied to different contexts and organizations. It features cutting-edge examples relating to digital transformation, data strategy, resolving conflicts of interests, building a data P&L and AI value prediction methodology. Recognizing different types of data value, this book presents tangible methodologies for identifying, capturing, communicating, measuring and deploying data-enabled opportunities. This is essential reading for data specialists, business stakeholders and leaders involved in capturing and executing data value opportunities for organizations and for informing data value strategies.

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Yes, you can access Value-Driven Data by Edosa Odaro in PDF and/or ePUB format, as well as other popular books in Business & Business Strategy. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Kogan Page
Year
2023
Print ISBN
9781398608627
eBook ISBN
9781398608634
Edition
1

Table of contents

  1. About the author
  2. Acknowledgements
  3. Introduction
  4. PART ONE Vision: discovering and capturing data value opportunities
  5. 01 What is data vision?
  6. 02 Capturing data visions
  7. 03 Why data visions of all sizes matter
  8. 04 The destructive impacts of data vision misalignments
  9. 05 Simplifying data vision misalignments
  10. PART TWO Obstacles: the things that stand between data visions and data value realization
  11. 06 Obstacles of the past
  12. 07 Obstacles of the future
  13. 08 Obstacles of the present
  14. PART THREE Value: identifying, capturing and communicating data value
  15. 09 Capturing data value propositions
  16. 10 Measuring data value for business case and operational assurance
  17. 11 The data value measurement life cycle
  18. 12 A data value account for data profits and losses
  19. 13 Presenting data value to the C-suite and the board
  20. Conclusion: bringing it all together
  21. Index