Verint Systems : KANA Enterprise Named a Leader for Dynamic Case Management by Independent Research Firm

SUNNYVALE, Calif. and MELVILLE, N.Y. March 31, 2014 - KANA Software, a Verint® Company (NASDAQ: VRNT), today announced that it has been named a Leader in Forrester Research, Inc.'s The Forrester Wave™: Dynamic Case Management (DCM), Q1 2014 report published March 28th.

Forrester included vendors in its assessment that demonstrate innovative approaches to dynamic case management, and are often discussed in client inquiries and appear on client vendor selection shortlists. KANA was among 13 software providers that the firm analyzed in its research.

In its newly published report, Forrester cites the KANA Enterprise for "[bringing] knowledge management to a new level," pointing to its data/records view that allows case workers to operate independently of a running case, and its wizard for setting up case actions that are "best in class." Forrester also notes the KANA Enterprise business administrative interface is a well-packaged design environment that can be used by a business analyst with a second additional technical environment for IT.

Forrester considers Dynamic Case Management a highly structured, but also collaborative, dynamic, and information-intensive process that is driven by outside events requiring incremental and progressive responses from the business domain handling a case.

According to the firm, Leaders in the Forrester 38-criteria DCM Wave evaluation had to provide a strong balance across both runtime and design time case management capabilities, and demonstrate strong product and go-to-market strategies. Additionally, Leaders achieved a combination of advanced R&D, vision and market execution.

About KANA
KANA, a Verint® Company, is a leading provider of cloud and on-premise customer service solutions. KANA helps global organizations-including many of the Fortune 500, mid-market businesses and public sector agencies-optimize their engagements with consistent and contextual customer journeys across agent, web, social and mobile experiences. Using KANA solutions, organizations can reduce operational costs, increase resolution rates and improve brand loyalty. Learn more at www.kana.com.

About Verint Systems
Verint® (NASDAQ: VRNT) is a global leader in Actionable Intelligence® solutions. Its portfolio of Enterprise Intelligence Solutions™ and Security Intelligence Solutions™ helps organizations Make Big Data Actionable™ through the ability to capture, analyze and act on large volumes of rich, complex and often underused information sources-such as voice, video and unstructured text. With Verint solutions and value-added services, organizations of all sizes can make more timely and effective decisions. Today, more than 10,000 organizations in over 150 countries, including over 80 percent of the Fortune 100, count on Verint solutions to improve enterprise performance and make the world a safer place. Headquartered in New York, Verint has offices worldwide and an extensive global partner network. For more information, visit www.verint.com.

This press release contains forward-looking statements, including statements regarding expectations, predictions, views, opportunities, plans, strategies, beliefs, and statements of similar effect relating to Verint Systems Inc. These forward-looking statements are not guarantees of future performance and they are based on management's expectations that involve a number of risks and uncertainties, any of which could cause actual results to differ materially from those expressed in or implied by the forward-looking statements. For a detailed discussion of these risk factors, see our Annual Report on Form 10-K for the fiscal year ended January 31, 2013 and our Quarterly Report on Form 10-Q for the quarter ended October 31, 2013 and other filings we make with the SEC. The forward-looking statements contained in this press release are made as of the date of this press release and, except as required by law, the Company assumes no obligation to update or revise themor to provide reasons why actual results may differ.

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