Case Study: Lotame accelerates time to market for Audience Optimizer with Cask Data Application Platform (CDAP)

Cask Accelerates Time to Market for Lotame’s Game-Changing Audience Optimizer

Lotame, a cross-device data management platform, needed a way to store and analyze large volumes of consumer interaction data for its Audience Optimizer offering. The company turned to Cask Data and the Cask Data Application Platform (CDAP) to build a data warehouse that could track historical behaviors across websites, apps, and ads and support predictive analytics at scale.

Using CDAP, Cask Data helped Lotame quickly create a real-time data warehouse with a powerful API and minimal code. The result was a much faster time to market, easier development, and a scalable platform that supports machine learning, historic data analysis, and ongoing monitoring; Lotame also reported CDAP cut implementation effort significantly and called it “a big win.”

Lotame

Jia-Long WU

Data Architect