
Value-Driven Data
Identifying, Communicating and Delivering Effective Business Solutions with Data
- 256 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
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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Information
Table of contents
- About the author
- Acknowledgements
- Introduction
- PART ONE Vision: discovering and capturing data value opportunities
- 01 What is data vision?
- 02 Capturing data visions
- 03 Why data visions of all sizes matter
- 04 The destructive impacts of data vision misalignments
- 05 Simplifying data vision misalignments
- PART TWO Obstacles: the things that stand between data visions and data value realization
- 06 Obstacles of the past
- 07 Obstacles of the future
- 08 Obstacles of the present
- PART THREE Value: identifying, capturing and communicating data value
- 09 Capturing data value propositions
- 10 Measuring data value for business case and operational assurance
- 11 The data value measurement life cycle
- 12 A data value account for data profits and losses
- 13 Presenting data value to the C-suite and the board
- Conclusion: bringing it all together
- Index