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The Financial Times Guide to Data-Driven Transformation: How to drive substantial business value with data analytics - Andrea De Mauro, Michele Pacifico

The Financial Times Guide to Data-Driven Transformation: How to drive substantial business value with data analytics

Buch | Softcover
256 Seiten
2024
FT Publishing International (Verlag)
978-1-292-46214-1 (ISBN)
CHF 53,80 inkl. MwSt
This practical book will support managers in understanding data transformation and data analytics and give them tools and models to use in their organisation. 

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 

Erscheinungsdatum
Reihe/Serie The FT Guides
Verlagsort Harlow
Sprache englisch
Maße 156 x 235 mm
Gewicht 390 g
Themenwelt Informatik Datenbanken Data Warehouse / Data Mining
Wirtschaft Betriebswirtschaft / Management Unternehmensführung / Management
ISBN-10 1-292-46214-0 / 1292462140
ISBN-13 978-1-292-46214-1 / 9781292462141
Zustand Neuware
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