NICE Reports First Quarter 2011 Results

NICE Systems (News - Alert) has reported non-GAAP revenues of $187 million in first quarter of 2011, up 15 percent from last year.

The company, which reported first quarter 2011 results recently said that its net income at $30 million was up 25 percent from last year.

Operating margin also increased to 18.2 percent, up from 16.6 percent last year

"The first quarter of 2011 was another strong quarter for NICE, marked by revenue growth, improved profitability, and robust cash generation. We continue to demonstrate solid execution, and to benefit from the leverage in our financial model,” said Zeevi Bregman, president and chief executive officer of NICE Systems, in a statement.

“We are seeing a continuous shift in business coming in, from our traditional products to advanced applications. We are also very pleased with the growth in demand that we are experiencing in emerging markets," said Bregman.

He said that the company continued to execute on its strategy to provide organizations with unique analytics-based cross-channel business applications to improve business performance, enhance compliance and safeguard people and assets.

Bregman said that NICE enables organizations to gather insights and understand trends, as well as provide them with the ability to impact specific events in real-time.

NICE Systems is  a major player of intent-based solutions that capture and analyze interactions and transactions, realize intent, and extract and leverage insights to deliver impact in real time.

TMCnet in March reported that Transera (News - Alert) Communications has formed a partnership with NICE Systems. The intent of the partnership, according to Transera officials, is to “allow for the integration of Transera's Scorecard Routing with NICE's Real-time Process Optimization and cross-channel Interaction Analytics.”

The deal specifies that Transera will resell NICE contact centers as SaaS (News - Alert) offerings.

In other words, they want to produce something to let contact centers identify customers by their intent and value, and then connect them to agents with matching skills, using real-time customer classification and agent performance information.