At a glance
Overview
Join this webinar to see how leading enterprise businesses leverage unique Yelp Insights to gain a competitive advantage, inform strategic decisions, and drive scale.
You'll learn how to harness Yelp’s business information and review data to create actionable insights via AWS Data Exchange.
This in-depth, yet easy-to-understand look at Yelp’s hyper-local dataset will help you analyze your marketplace, your customers, and ultimately grow your business.
Date & time
Overview
Overview
Who should attend
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Data, insights, & analytics leaders
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Data scientists & strategists
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Growth managers
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Sales strategy teams
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Risk managers & underwriters
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Business intelligence teams
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Product team members
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Consumer researchers
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Marketing analytics managers
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Commercial real estate professionals
Overview
Speakers
Alex Rivera
Senior Manager, Business Development & Data Licensing, Yelp
Harry Lin
Global Lead, Business Development, Media & Entertainment, Amazon Web Services (AWS) - AWS Data Exchange
Peccy
Peculiar Ways, Amazon
Peccy
Peculiar Ways, Amazon
Peccy
Peculiar Ways, Amazon
Peccy
Peculiar Ways, Amazon
Peccy
Peculiar Ways, Amazon
Peccy
Peculiar Ways, Amazon
Details
Attached technical workshop
Data analysts, architects, engineers, and scientists, don't miss the associated workshop!
Attendees will receive a comprehensive understanding of how businesses are leveraging AWS Data Exchange for Amazon data files and Yelp relevant business information and review data to create actionable insights to gain a competitive advantage, inform strategic decisions, and drive scale.
Through hands-on exercises involving the Local Business Attributes, Intel, and Full Review data product from Yelp, attendees will learn how to analyze their marketplace and customers to ultimately grow their business.
You'll learn how to
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Identify selling opportunities by analyzing review text.
- e.g., alcohol distributors can learn where Yelp consumers are asking for specific brands of gluten-free Vodka and then point their sales teams toward those restaurants.
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Enrich your own unique datasets to strengthen Ideal Customer Profiles (ICPs).
- e.g., a leading out-of-home ad company (think ads on restaurant napkin holders and bus stops) lays Yelp data over their existing data set to improve accuracy and recency.
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Their ultimate goals are to find new bars and restaurants for their sales teams to call and save time by eliminating restaurants that are closed Bolster underwriting decisions by analyzing photos and reinforcing existing data sets.
- e.g., insurance providers and fintech companies use photo recognition to accurately identify the size and types of businesses to make better credit decisions.
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Ingest competitor data to inform operational improvements and smarter real estate decision-making.
- e.g., large store operators can see where competitors are opening/ closing locations in real-time and adjust their footprints and strategies accordingly.
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Find, discover, and use data in the cloud via AWS Data Exchange.