O2 Selects Vitria Operational Intelligence Solution

Vitria Technology (News - Alert), Inc. recently announced that its Operational Intelligence solution has been selected by O2, the commercial brand of Telefonica (News - Alert) UK, for greater insight into customer experience.

Vitria Operational Intelligence is a unified platform that runs query analysis against live feeds and event data to deliver real-time visibility and insight into IT operations, Big Data, complex events and other processes. This provides continuous insight into the current state of the business, empowering leaders to take immediate action.

This real-time information can be acted upon in a variety of ways: alerts can be sent, business processes can be triggered and executive decisions can be made and implemented using live dashboards. More often than not, Operational Intelligence is chosen for its real-time monitoring capabilities when organizations want to take immediate action.

"We need a holistic picture of each individual customer's experience so that we can proactively identify and resolve service issues before they negatively impact our customers," said Dave Akeroyd, head of OSS Strategy and Architecture for O2 (News - Alert). "In addition we will be seeking to leverage that insight to be able to offer a better service experience for our customers."

"Vitria Operational Intelligence is the industry's only unified Operational Intelligence platform that combines continuous, real-time analytics with intelligent business process management to solve multiple challenges across the business, operations and IT," said Richard Lambert, VP of Vitria’s World Wide Sales, in a statement.

Vitria Technology recently announced the availability of Vitria Operational Intelligence 4, the only unified platform that combines continuous, real-time analytics on Big Data, streaming events and business processes to enable immediate action. Vitria OI 4 is the only elastically scalable Operational Intelligence (OI) platform that can effectively address continuous, real-time Big Data challenges of any size.