Value-Driven Data: Identifying, Communicating and Delivering Effective Business Solutions with Data

Odaro, Edosa

ISBN 10: 1398608645 / ISBN 13: 9781398608641

Edité par Kogan Page, 2023

In. N° de réf. du vendeur ria9781398608641_new

Synopsis :

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.

À propos de l?auteur: 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.

Détails bibliographiques

Titre : Value-Driven Data: Identifying, ...
Éditeur : Kogan Page
Date d'édition : 2023
Reliure : Couverture rigide
Etat : New