Value-Driven Data

Identifying, Communicating and Delivering Effective Business Solutions with Data
1. Auflage 2023
ISBN: 978-1-3986-0862-7
Verlag: Kogan Page

Buch, Englisch, 256 Seiten, Format (B × H): 158 mm x 232 mm, Gewicht: 407 g

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.

Autoren/Hrsg.

Odaro, Edosa

Fachgebiete

• Wirtschaftswissenschaften Betriebswirtschaft Management Strategisches Management
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Mining

Inhaltsverzeichnis

Chapter - 00: IntroductionSection - ONE: Vision: Discovering and capturing data value opportunitiesChapter - 01: What is data vision?Chapter - 02: Capturing data visionsChapter - 03: Why data visions of all size matterChapter - 04: The destructive impact of data vision misalignmentChapter - 05: Simplifying data vision misalignmentsSection - TWO: Obstacle: The things that stand between data visions and data value realisationChapter - 06: Obstacles of the pastChapter - 07: Obstacles of the futureChapter - 08: Obstacles of the presentSection - THREE: Value: Identifying, capturing and communicating data valueChapter - 09: Capturing data value propositionsChapter - 10: Measuring data value for business case and operational assuranceChapter - 11: The data value measurement lifecycleChapter - 12: A data value account for data profits and lossesChapter - 13: Presenting data value to the CXO, EXCO and the boardChapter - 14: Conclusion: Bringing it all together

Über Autor(innen)

Odaro, Edosa
Edosa Odaro is a cross-industry AI and data transformation leader who has helped over 35 international organizations deliver significant impact through data analytics, transformation strategy implementation and intelligent interventions. Based in London, UK and with over 20 years of industry experience, he is currently the Chief Data and Analytics Officer at Tawuniya and is on the board for the UK's National Institute for Health Data Science (HDR UK). Edosa 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.

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.