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
Apigee Insights is available in several solutions:
Industry solutions for companies in healthcare, telecom, and retail to foster increased customer satisfaction by reducing churn and delivering individualized targeting and recommendations. For example, using Apigee Insights, healthcare payers can predict members most likely to file a complaint well in advance, proactively investigate the root causes, and report on the results of the intervention program.
Custom solutions that enable enterprises to meet custom predictive and advanced analytics needs. Insights solutions are highly configurable, enabling enterprises to meet unique business needs.
API solutions that enable enterprises to increase revenue and customer satisfaction with API-powered predictive apps to anticipate and adapt to the needs of each customer.
Somesh Nigam, senior vice president and chief informatics officer at Independence Blue Cross, commented, "Independence Blue Cross is at the forefront of increasing the effectiveness of health care through predictive analytics and big data. For example, Apigee Insights has helped us move beyond simply answering customers' calls about their Medicare Advantage plans to reaching out proactively to our members before they have issues that would require our help."
The Apigee Insights technology platform is tightly integrated with Hadoop. It includes a predictive actions engine with machine learning libraries, advanced analytics and more; a distributed processing foundation for massive scalability and real-time and batch processing; and data collectors that gather 360 degrees of relevant information from interactions across all channels in and beyond the enterprise.
Predictive Big Data + APIs for Digital Acceleration
Used together, the predictive analytics in Apigee Insights and the digital infrastructure in Apigee Edge create a powerful "adaptive cycle" of continuous improvement that makes every digital interaction smarter. In this adaptive cycle, customer needs are identified using predictive analytics, and the behavior of APIs and apps can change to address the insight. The faster an enterprise can move through this adaptive cycle using APIs and predictive analytics, the faster it can innovate, adapt and accelerate its digital business.
Earlier this year, Apigee acquired InsightsOne. The InsightsOne technology has been integrated into the new Apigee Insights, which now includes predictive analytics and advanced contextual analytics in a unified big data analytics platform.
Apigee Insights is available today as a software-and-services offering, available in the cloud or on premises. For more information about Apigee Insights, visit the Apigee website at http://apigee.com/about/products/big-data.
Apigee blog post: "The New Apigee Insights: Enable Predictive Apps"
Apigee provides the leading technology platform for digital acceleration. Through APIs and big data, Apigee delivers the scale, insight and agility any business needs to compete in today's digital world. Apigee customers include global enterprises such as Burberry, Walgreens, eBay, Shell, Live Nation, Kaiser Permanente and Sears. The company's headquarters are in San Jose, California. To learn more, go to apigee.com.
Apigee is a registered trademark in the U.S. Other product or company names mentioned may be trademarks or trade names of their respective companies.
1 Gartner, "Predicts 2014: Business Process Reinvention Is Vital to Digital Business Transformation," Nov. 15, 2013
2 Gartner Press Release, "Gartner Says Organizations Using Predictive Business Performance Metrics Will Increase Their Profitability 20 Percent by 2017," January 16, 2014, http://www.gartner.com/newsroom/id/2650815