Value-Driven Data
Kogan Page Ltd (Verlag)
978-1-3986-0862-7 (ISBN)
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.
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.
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
| Erscheinungsdatum | 25.07.2023 |
|---|---|
| Verlagsort | London |
| Sprache | englisch |
| Maße | 157 x 232 mm |
| Gewicht | 395 g |
| Themenwelt | Sachbuch/Ratgeber ► Beruf / Finanzen / Recht / Wirtschaft ► Wirtschaft |
| Informatik ► Datenbanken ► Data Warehouse / Data Mining | |
| Wirtschaft ► Betriebswirtschaft / Management ► Unternehmensführung / Management | |
| ISBN-10 | 1-3986-0862-9 / 1398608629 |
| ISBN-13 | 978-1-3986-0862-7 / 9781398608627 |
| Zustand | Neuware |
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