Revolution Analytics
17 Case Studies
A Revolution Analytics Case Study
[x+1], New York, needed a real-time analytics platform that could handle rapidly growing terabytes of data, automate model updates, and incorporate new data types without sacrificing performance. Its existing closed analytics application was not built for the scale or speed required to power personalized digital marketing and multi-channel audience targeting.
Revolution Analytics implemented Revolution R Enterprise, using RevoScaleR and distributed computing to re-engineer [x+1]’s Predictive Optimization Engine. The new solution delivered the performance and scalability needed for growth, enabling faster model development and deployment, broader use of the POE across channels, and the ability to add richer data and new product capabilities more quickly.