Artwork for podcast The Data Storytellers Podcast
Building Effective Data Teams in a Technically Diverse Environment | Sarah Bourgeois (Analytics and Data Science Manager at Toromont Cat)
6th October 2022 • The Data Storytellers Podcast • The Data Storytellers Podcast
00:00:00 00:56:25

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On this episode of The Data Storytellers podcast, we explore the intricate world of data and analytics in the industrial sector with Sarah Bourgeois, Analytics and Data Science Manager at Toromont Cat. Sarah shares her unique journey from civil engineering to spearheading data initiatives, emphasizing the critical role of intuitive insights and storytelling in bridging the gap between data teams and business units. We delve into the challenges of implementing data-driven strategies within B2B environments, the importance of cross-functional team leadership, and the transformative impact of data on business operations. This discussion is a deep dive into how data can drive significant business decisions and the importance of aligning data projects with core business objectives, ensuring that technological solutions translate into tangible business value.

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• Website: https://thedatastorytellers.com/

• LinkedIn: https://www.linkedin.com/company/the-data-storytellers

• Spotify: https://open.spotify.com/show/2N0vZtHZHgod4Tll2LX2xa

• YouTube: https://www.youtube.com/channel/UCz9e56lhYUfORiOHMiLlPmA

• Apple Podcast: https://podcasts.apple.com/gb/podcast/the-data-storytellers-podcast/id1493766476


00:07 - Introduction and Sarah's background in data analytics

00:34 - How Sarah transitioned from civil engineering to data science

02:08 - Overview of Toromont Cat and its business model

05:33 - Real-world challenges and solutions in B2B data analytics

10:15 - The importance of storytelling and communication in data roles

15:22 - Strategies for building and managing effective data teams

20:48 - Discussion on data-driven decision making in business strategies

25:37 - Insights into fostering collaboration between data scientists and business stakeholders

30:12 - Future trends in data analytics and machine learning applications in industry

35:44 - Conclusion: The impact of leadership in advancing data initiatives

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