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 is 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