Now Available On-demand
How are data-driven companies integrating third-party location data to improve where they open new business or enhance in-app features?
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.
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.
Attendees will learn:
- 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
- The value received from leveraging ‘visits’ data that provides insight into certain categories, chains, or individual venues
- How to improve data pipelines for assessing high quality and relevant location-based third-party data
- Data analysis strategies as they apply to faster insights and business outcomes
- Techniques to distill key insights into data visualization tools
- How and why diverse data can enrich analytics
Who Should Attend?
Chief Data Officers, data scientists, business intelligence, and analytics professionals.
Rob Jonas, Chief Revenue Officer, Foursquare
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.
Mr. Nikhil Jain, Senior Director of Decision Sciences, Yum! Brands
Nikhil is responsible for all data science and engineering related initiatives globally, across all the Yum! Brands. His team focuses on building AI/ML driven products to solve complex business problems which are used by brands and franchisees globally.
Noah Schwartz, General Manager, AWS Data Exchange
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.
Colin Marden, Solution Architect, AWS
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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About AWS Data Exchange:
AWS Data Exchange makes it easy to find, subscribe to, and use third-party data in the cloud. Qualified data providers include category-leading brands such as Reuters, who curate data from over 2.2 million unique news stories per year in multiple languages; Change Healthcare, who process and anonymize more than 14 billion healthcare transactions and $1 trillion in claims annually; Dun & Bradstreet, who maintain a database of more than 330 million global business records; and Foursquare, whose location data is derived from 220 million unique consumers and includes more than 60 million global commercial venues. Visit aws.amazon.com/data-exchange/ to learn more.