Harness the power of big data and AI to deepen customer insights and deliver tailored shopping experiences that captivate customers across every channel
Built by the original creators of Apache Spark™, the Databricks Unified Analytics Platform enables retailers and ecommerce companies to easily build, scale, and deploy machine learning models in minutes, leading to better customer experiences that convert.
Use machine learning to mine clickstream, purchase and customer data to provide targeted recommendations that drive lifetime value
Improve promo conversion by using big data to serve the right ad, at the right time, to the right person, on the right device
Prevent credit card fraud, cyberattacks and other illicit activities by detecting anomalous behavior with real-time analytics and AI
Read this ebook to learn how to unify big data and AI in the retail industry
Learn how Overstock tackled the challenge of building a powerful One-to-One marketing engine that would bring a personalized shopping experience to their customers.
Learn how Rue Gilt Groupe leveraged Databricks to accelerate query speeds by 60% and speed-up iterative model development, leading to increased shopper engagement and purchase behaviorRead More
Chris Robison, Lead Data Scientist at Overstock, shares innovations in building a successful marketing technology infrastructure for instantaneous individualized shopping experiencesWatch Now
Learn how to build an end-to-end pipeline capable of analyzing large volumes of clickstream and advertising data to predict whether or not a customer will click on an ad impressionRead More
Learn how Co-op transformed their data strategy by moving to the Azure cloud and employing the Databricks Unified Analytics Platform to democratize data across business units and accelerate machine learning adoption and innovation.Read More
"Working in Databricks is like getting a seat in first class. It’s just the way flying (or data science-ing) should be."
Read the Case Study