Value-Driven Data: Identifying, Communicating and Delivering Effective Business Solutions with Data
- 4h 23m
- Edosa Odaro
- Kogan Page
- 2023
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.
About the Author
Edosa Odaro is an AI and data transformation leader who has helped countless international organizations deliver significant impact through data analytics, transformation strategy and intelligent interventions. He is Chief Data and Analytics Officer at Tawuniya and is on the board for the UK's National Institute for Health Data Science (HDR UK). Odaro has been named a Financial Times Top 100 Most Influential Leader and one of the UK's 30 Most Influential Black Leaders in FinTech.
In this Book
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Introduction
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What is Data Vision?
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Capturing Data Visions
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Why Data Visions of All Sizes Matter
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The Destructive Impacts of Data Vision Misalignments
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Simplifying Data Vision Misalignments
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Obstacles of the Past
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Obstacles of the Future
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Obstacles of the Present
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Capturing Data Value Propositions
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Measuring Data Value for Business Case and Operational Assurance
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The Data Value Measurement Life Cycle
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A Data Value Account for Data Profits and Losses
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Presenting Data Value to the C-suite and the Board
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Conclusion: Bringing it All Together
