In this episode, Prabhath Nanisetty, Retail Industry Lead at Snowflake, joins Tom Limongello and Todd Sawicki to demystify Snowflake’s pervasive role in the retail and brand ecosystem. Nanisetty shares his journey from being a Snowflake customer at Numerator—where he faced the challenges of scaling analytics—to leading Snowflake’s retail industry strategy. He explains how Snowflake’s architecture, which brings compute engines to a single copy of data rather than constantly moving or duplicating it, has revolutionized how companies handle data collaboration, privacy, and scalability. The conversation explores the evolution of Snowflake from a cloud data warehouse to a platform powering advanced analytics, secure data clean rooms, and generative AI for automated audience segmentation. Nanisetty highlights Snowflake’s neutrality and interoperability across major cloud providers as crucial for retailers and brands navigating competitive pressures and the need for seamless data integration.

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Listeners will gain insight into how Snowflake helps solve real-world retail challenges—like minimizing out-of-stocks by integrating supply chain data—and how its ecosystem of partner-built applications enables both technical and business users to unlock new value from their data. Whether you’re a data engineer, marketer, or retail executive, this episode offers a clear, actionable look at how Snowflake is transforming data-driven collaboration and growth in retail and beyond. Connect with Prabhath Nanisetty on LinkedIn: https://www.linkedin.com/in/prabhathnanisetty/

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