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Alter Everything
156: Winning with Data Science
Apr 10, 2024
Guest Akshay Swaminathan discusses bridging the divide between technical and non-technical teams in data-driven initiatives. He emphasizes the importance of collaboration, communication, and providing resources for effective participation. The podcast delves into tools, strategies, and the Learn-Build-Measure approach to drive success in data projects.
22:50
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Quick takeaways
- Effective collaboration between technical and non-technical teams is crucial for data project success.
- Adopting a customer mindset and enhancing communication are vital for aligning business goals with data initiatives.
Deep dives
Importance of Collaborating with Data Science Teams
Collaborating effectively with data science teams is essential for the success of data science projects. The podcast emphasizes that the involvement of non-data stakeholders, such as business partners and domain experts, significantly impacts project outcomes. It is highlighted that resources are often lacking for non-technical individuals to become proficient data collaborators. The importance of enhancing collaboration between technical and non-technical team members to drive project success is underscored.
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