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Published on:

24th Mar 2022

Bridging Academic Insights and Industry Practices in Data Analytics | Giles Pavey (Global Director of Data Science at Unilever)

On this episode of The Data Storytellers podcast, we discuss the transformative journey of data analytics in multinational corporations with Giles Pavey, Global Director of Data Science at Unilever. Giles shares his experiences and challenges in driving data-centric strategies across various brands and global markets. We delve into how data is leveraged to enhance consumer insights, streamline operations, and foster innovation within a corporate setting. Join us as Giles highlights the importance of building a data-driven culture and the role of leadership in integrating analytics to shape business outcomes and competitive advantages at Unilever.

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00:08 - Introduction to Giles Pavey, Global Director of Data Science at Unilever

00:37 - Overview of Giles's roles and responsibilities in data and AI

02:03 - Giles's career start from physics to marketing analytics

11:38 - Reflections on the evolution of data science over three decades

12:34 - The role of data analytics in driving business efficiency and innovation

15:49 - Key challenges and opportunities in data transformation leadership

22:58 - The unique blend of data science with corporate dynamics

29:38 - Giles's professional growth and impact through data science projects

36:09 - Building trust and facilitating collaboration within enterprise environments

43:05 - Advice for data analytics leaders in navigating complex business landscapes

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The Data Storytellers Podcast
The Data Storytellers is a leading professional community dedicated to building business influence for data and analytics leaders. Our mission is to empower and enable Data Science & Analytics professionals and organizations to actualize their full potential. In the evolving landscape of business, Data Science and Analytics departments are emerging as a business within a business, driving strategic decisions and influencing outcomes.

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