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How Ovative uses data visualization to make instant predictions to drive retail sales

The amount of data we have access to continues to grow exponentially, and it can be an overwhelming process to figure out what to do with it. Claire and Rachel from the digital marketing and measurement firm, Ovative/group, are joining us to share how they use predictive dashboards to make informed business decisions. Using Tableau, R, and Google BigQuery, they built a custom A/B testing calculator to predict how their client's online presence was affecting in-store sales.

Watch this on-demand webinar to learn about:

  • Site optimization and A/B testing
  • Proxy-metrics and the six key onsite actions users are taking
  • Harnessing the power of retail data with Google BigQuery and R
  • Unlocking substantial ROI for in-store and e-commerce sales

See their custom calculator and reporting tactics in action and learn how Ovative/group discovered a profitable opportunity for one of their retail clients.

View the full series: Solving real-world problems in retail with data visualization

À propos des intervenants


Claire Wyatt

Manager of Data Visualization, Ovative

Claire is a data evangelist and proud nerd. A graduate of the University of Wisconsin Madison, Claire majored in Finance, Investments & Banking as well as History. After 3 years in the Financial Industry, Claire transitioned her analytical skills to the Marketing Technology world where she spends her days making big data look super sexy. Say "parameter" and her knees are going to get a little weak (she loves them). Also, make sure to ask her about her space helmet or where she got her shoes.


Rachel Rabaey

Manager of Data Science, Ovative

Rachel holds a Masters of Predictive Analytics from DePaul University and has over 15 years of experience in marketing and loyalty program analytics, wrangling data even before it was “big.” As a Manager of Data Science at Ovative/group, she conducts a variety of analyses including predictive modeling, customer segmentation, forecasting and campaign measurement. Her favorite Tableau feature is level-of-detail calculations.

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