On this episode of The Data Storytellers podcast, we dive into the critical role of data, technology, and human capital in multinational corporations with Renier Olivier, the head of data at Pernod Ricard for the Africa region. Renier discusses the challenges and strategies involved in melding traditional business models with modern data-driven practices. Our conversation covers the importance of bridging the gap between data scientists and business units to foster a data-centric culture within global companies. We also delve into the nuances of implementing data-driven decision-making processes across different market conditions and cultural landscapes, emphasizing cross-functional collaboration, strategic thinking, and ethical considerations in leveraging AI and machine learning.
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00:08 - Introduction to Renier Olivier and his role at Pernod Ricard
00:52 - How Renier was thrust into the world of data out of necessity
02:08 - The key challenges in the industry from a data-driven transformation perspective
04:28 - Renier's transition from sales and marketing to data science
06:24 - The importance of soft skills and empathy in data roles
10:59 - Defining the role of a data leader as a facilitator of change
13:14 - The complexities of assuming the right position as a data leader
17:57 - The essential qualities of a successful data transformation leader
20:40 - The invaluable learning from sales experience applicable to data science
24:32 - The intersection of customer-oriented sales skills and data strategy
30:27 - The exciting future of data-driven strategies at Pernod Ricard
34:25 - Conclusion and future outlook
