This is the book that helps managers maximise the business value brought by data to their organisation.
Are you eager to unlock the power of data in your organization? In the Financial Times Guide to Data Driven Transformation, Andrea De Mauro and Michele Pacifico provide a comprehensive roadmap for leaders aiming to harness the full potential of data analytics. This guide is designed for top executives, data leaders, and practitioners who are seeking to drive substantial business value and navigate the complex landscape of digital transformation.
The book covers key strategies for building data-driven cultures, developing analytics roadmaps, and leveraging artificial intelligence to support decision-making. Through practical insights and real-world examples, the authors show how businesses can unlock value from their data assets, streamline operations, and gain a competitive advantage. Whether you're at the early stages of your data journey or looking to enhance existing capabilities, this guide offers the tools you need to succeed.
Drawing from the extensive experience of both authors, this book is more than a theoretical guide; it's a hands-on, actionable resource tailored for professionals who want to make data an integral part of their companys strategy and operational excellence.
Rezensionen / Stimmen
"This book stands out for its clarity about key analytics and AI concepts, the many real examples it provides, and the very helpful guidelines and methods for becoming data-driven. And yes, it includes AI too." Thomas H. Davenport, Distinguished Professor, Babson College and Fellow, MIT Initiative on the Digital Economy, Author of "Competing on Analytics and All In on AI"
"A complete and very actionable overview for any company to become more data-driven, from creating the foundations to sustainable value creation." Erwin Logt, Group CIO, Danone
"On weekly basis, people from large and small companies from around the world ask me, "How do I start my journey towards leveraging data efficiently and effectively?" Now I can simply send them a link to this book - The Financial Times Guide to Data-Driven Transformation by Andrea De Mauro and Michele Pacifico. A must read for all who are interested in building an effective data and analytics environment." John K. Thompson, Global Head, Artificial Intelligence, Ernst & Young and author of "Building Analytics Teams"
"Complete, easy-to-understand and immediately applicable. A great support for any business leader to navigate through the Digital Transformation." Antonio Fazzari, General Manager and Chief Operating Officer at Fater
"The Financial Times Guide to Data-Driven Transformation by Andrea De Mauro and Michele Pacifico is an essential guide for anyone looking to navigate the complexities of data transformation (and there are plenty of complexities to navigate!). The authors offer a clear, step-by-step approach, complemented by practical tools and real-world examples, making the integration of data analytics into business operations both accessible and achievable. I particularly appreciate the inclusion of various diagrams throughout the book, like the RACI Diagram for key Data Governance activities, which visually enhance the understanding of complex concepts." Kate Strachnyi, Founder of DATAcated
"Data and AI demystified. You will find concrete examples and tools to drive a data-driven culture and organization. By the end of the book, you will confidently navigate data complexities and tap into value creation opportunities." Elisa Passoni, Director Commercial BI & Analytics, Perfetti Van Melle
"A comprehensive guide for every data leader striving to drive impactful initiatives by bridging the gap between technical and business language. This book is an essential resource for transforming data strategies into real-world successes." Ermanna Maiuri, Head of Analytics at Refurbed
"In an era where data is the king and at least that is what everyone around keeps telling us and data leaders like us keep propagating the same, this book by Andrea De Mauro and Michele Pacifico empowers leaders and practitioners alike to demystify this topic beyond the theoretical allure to practical implementation. With its structured guidance, practical tools and frameworks, addressing intricacies of complex subjects such as AI algorithms and data governance it is a must-read for those ready to harness the full potential of their data and carve out a legacy of innovation, value and growth." Vikrant Bhan, Group Head Analytics, Data and Integration at Nestle
Sprache
Verlagsort
Verlagsgruppe
Pearson Education Limited
Zielgruppe
Maße
Höhe: 156 mm
Breite: 234 mm
Dicke: 16 mm
Gewicht
ISBN-13
978-1-292-46214-1 (9781292462141)
Schweitzer Klassifikation
Andrea De Mauro is currently Head of Data & Analytics at Vodafone. He has more than 15 years of international experience managing Data Analytics and Data Science organizations. He is a social media influencer, a professor, a researcher, and a popular science author of several books in English and Italian. He appeared in 2022 global Forty Under 40 list by CDO magazine. Previously, he served as Director of Business Analytics at Procter & Gamble, looking after the continuous elevation of data analytics in the business and the development of digital fluency across the global organization.
Michele Pacifico is currently Senior Product Manager for Commercial Analytics in the global analytics team of Nestlé. He has spent the last 15 years in various Business Intelligence and Data Analytics roles in Fast Moving Consumer Goods and software industries, mostly focusing on business facing responsibilities across countries and organizations. From building valuable analytics use cases to helping develop analytics roadmaps and data strategies in different organizations, data analytics is has been a key passion accompanying him throughout his whole career.
1. Putting Data Analytics at Work 2. Data Transformation process 3. Data Canvas 4. Machine learning for value creation 5. Technology 6. People, culture, and organization 7. Data Governance 8. Leading the transformation Conclusions Glossary of frequent analytics terms for leaders
