How Props uses BigQuery and image recognition to get deeper creative insights
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Props set out to upgrade its marketing data stack for two reasons. First, storing data in Google Sheets wasn’t sustainable for a growing business. Second, they needed a sturdier data architecture to deliver their clients the full benefits of their image recognition tool. Now, Props’ business is powered by a custom data warehouse solution.
Join us as we discuss how Props built a new product on top of a data warehouse. We’ll cover why Props chose BigQuery, what the data architecture looks like before and after the integration, and finally, a demo of Props’ image recognition insights.
Live on: Tuesday, November 29, 4 p.m. GMT, 11 a.m. EDT, 8 a.m. PDT
Here's what you'll learn
The benefits of centralizing your marketing data into a data warehouse
How to get the most out of your data warehouse
Why Props chose BigQuery
How Props data architecture looks like before and after the data warehouse integration
How Props delivers deeper creative insights with image recognition
How Supermetrics can help in building a data warehouse
Lead Engineer of Professional Services,
Co-Founder and COO,
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