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You're Invited!
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Thursday, May 6
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11am pt | 2pm et
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60 min session
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Join this webinar to discover how Yum! Brands and other organizations are leveraging location-based data to boost in-app location accuracy, increase in-store foot traffic, and expand ecommerce business.
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Data and analytics leaders are using third-party data to transform the way they innovate and improve customer experiences. Learn how Yum! Brands is optimizing site selection decisions using Foursquare location data to better understand how local landscapes in foreign market trade areas impact business outcomes.
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Attendees will learn:
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How data providers, such as Foursquare, can pinpoint firmographic details such as venue name, address, and category as well as rich content attributes such as photos, reviews, and tips
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The value received from leveraging 'visits' data that provides insight into certain categories, chains, or individual venues
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How to improve data pipelines for assessing high quality and relevant location-based, third-party data
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Data analysis strategies as they apply to faster insights and business outcomes
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Techniques to distill key insights into data visualization tools
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How and why diverse data can enrich analytics
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Webinar speakers:
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Nikhil Jain
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Senior Director of Decision Sciences, Yum! Brands
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Nikhil is responsible for all data science and engineering-related initiatives globally, across all the brands. His team focuses on building AI/ML-driven products to solve complex business problems which are used by brands and franchisees globally.
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Rob Jonas
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Chief Revenue Officer, Foursquare
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As Chief Revenue Officer, Rob is responsible for all sales, partnerships, business development, and international markets across Foursquare's complete product portfolio, driving revenue growth through multi-product customer relationships with leading global brands and enterprises.
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Noah Schwartz
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General Manager, Product and Engineering, AWS Data Exchange
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Noah Schwartz is the GM of Product and Engineering for AWS Data Exchange. He joined AWS in 2017 and has spent most of his career in a role building technology to generate or use data to answer questions across FSI, CPG, and Sports while working at Bloomberg, Dow Jones, and Palantir. Prior to joining AWS, he was the CTO of Bloomberg Sports, Head of R&D at Dow Jones, and Head of Engineering for Risk & Regulatory Data at Bloomberg.
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Colin Marden
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Solution Architect, AWS
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Colin Marden is a Solutions Architect in the Financial Services industry supporting AWS customers in their journey to modernize, transform, and migrate on-premises workloads to the AWS Cloud. Colin is a champion and specialist for Amazon QuickSight and AWS Data Exchange. He regularly works with AWS customers to create data engineering architectures and speaks at AWS and partner events on these subjects of interest.
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