Autorenportrait
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.
s 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.
Inhalt
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
