Value-Driven Data explains how data leaders and managers can develop data-driven opportunities and solutions for their organizations. By focusing on the value of data, Value-Driven Data explores how organizations can understand their business 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 incentivising 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-driven value predictor methodology. The book recognizes different types of data value, ranging from data-based digital transformation to increased monetization, diversity and inclusion, and CSR goals. It explores conundrums such as data for commerce versus data for compassion and data profits versus data privacy. This will be essential reading for data specialists and leaders involved in capturing and executing data value opportunities for organizations and informing data-driven strategy.
By:
Edosa Odaro
Imprint: Kogan Page Ltd
Country of Publication: United Kingdom
Dimensions:
Height: 234mm,
Width: 156mm,
ISBN: 9781398608627
ISBN 10: 1398608629
Pages: 240
Publication Date: 03 August 2023
Audience:
College/higher education
,
Professional and scholarly
,
General/trade
,
Primary
,
Undergraduate
Format: Paperback
Publisher's Status: Active
Chapter - 00: Introduction Section - ONE: Vision: Discovering and capturing data value opportunities Chapter - 01: What is data vision? Chapter - 02: Capturing data visions Chapter - 03: Why data visions of all size matter Chapter - 04: The destructive impact of data vision misalignment Chapter - 05: Simplifying data vision misalignments Section - TWO: Obstacle: The things that stand between data visions and data value realisation Chapter - 06: Obstacles of the past Chapter - 07: Obstacles of the future Chapter - 08: Obstacles of the present Section - THREE: Value: Identifying, capturing and communicating data value Chapter - 09: Capturing data value propositions Chapter - 10: Measuring data value for business case and operational assurance Chapter - 11: The data value measurement lifecycle Chapter - 12: A data value account for data profits and losses Chapter - 13: Presenting data value to the CXO, EXCO and the board Chapter - 14: Conclusion: Bringing it all together
Edosa Odaro is an AI and data transformation leader who has helped over 35 international organizations deliver significant impact through data analytics, transformation strategy and intelligent interventions. Based in London, UK, 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.
