The document discusses operational analytics using Cloudera. It describes how Cloudera can be used to operationalize models, reports and rules through recommendation engines, event detection, and scoring. It also discusses challenges with traditional operational analytic architectures like limited data, slow drill down performance, and analytic latency. The document then presents Cloudera as a new way forward that can address these challenges by providing greater data scale, faster drill down speeds, and lower latency. It provides the example of Opower, an energy conservation company, that uses Cloudera to power personalized insights for customers.