Apigee Launches Predictive Big Data Analytics Platform

SAN JOSE, CA--(Marketwired - Apr 10, 2014) - Apigee today launched a major new version of Apigee Insights, its big data analytics platform that now enables enterprises to increase customer satisfaction and revenue by predicting and immediately adapting to the needs of individual customers -- at scale. With Apigee Insights, businesses can apply sophisticated predictive analytics on fine-grained data and then proactively act on those insights in real-time, delivering individualized services through predictive apps. For example, a business could use Apigee Insights to predict a customer grievance and then deliver a mobile offer tailored to that customer to improve loyalty.

Gartner says that "by 2017, organizations using predictive business performance metrics will increase their profitability by 20 percent."¹ With Apigee Insights and the market-leading Apigee Edge API platform, only Apigee combines the power of APIs with predictive analytics to achieve the speed and scale required for digital business today.

"In today's mobile-first digital world, it's not enough to understand what your customers have done in the past -- the most successful digital businesses will predict customer needs and take action to address them," said Chet Kapoor, Apigee CEO. "Apigee Insights delivers predictive analytics at a level beyond that used at the Internet giants, and makes it available to any enterprise."

The new Apigee Insights combines predictive analytics and advanced machine learning in a unified platform. It analyzes many types of data to build a comprehensive understanding of each customer, including consumer data, such as demographics and social media usage; product interaction data, such as how a customer interacts with a company's products; and machine data that includes app and information services usage.

"Using historical measures to gauge business and process performance is a thing of the past," said Samantha Searle, research analyst at Gartner. "To prevail in challenging market conditions, businesses need predictive metrics -- also known as 'leading indicators' -- rather than just historical metrics (aka 'lagging indicators'). Predictive risk metrics are particularly important for mitigating and even preventing the impact of disruptive events on profitability."²