How to generate business intelligence leveraging Yelp’s rich first-party data on AWS

At a glance

On-demand webinar 

Registration for the live webinar ended on Wed, July 19. However, you can register here to instantly watch the on-demand recording.

Who should watch 

• Data, insights, & analytics leaders
• Data scientists & strategists
• Growth managers
• Sales strategy teams
• Risk managers & underwriters
• Business intelligence teams
• Product team members
• Consumer researchers
• Marketing analytics managers
• Commercial real estate professionals

Overview

Watch this webinar to understand how leading enterprise businesses leverage unique Yelp Insights to gain a competitive advantage, inform strategic decisions, and drive scale. 

Attendees will learn how to harness Yelp’s relevant 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.

You will learn how to: 

• Perform analysis on Yelp reviews to track consumer sentiment of business locations. 
  • e.g., hotels chains can track what customers are saying about staff service and room cleanliness, then direct their operations teams accordingly
• 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
• 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. 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.
• 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 
• Find, discover, and use data in the cloud via AWS Data Exchange.