Apigee Launches Predictive Big Data Analytics Platform - Seite 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.