Fortune 500 Financial Institution Selects Datawatch For Enterprise Content Management Analytics Second Major Financial Institution Replaces DocuAnalyzer with Datawatch
CHELMSFORD, Mass., March 19, 2013 /PRNewswire/ -- Datawatch Corporation (NASDAQ-CM: DWCH), the leading global provider of information optimization solutions, today announced that a second Fortune 500 financial institution in less than a month has selected Datawatch to deliver on-line analytics for its enterprise content management solution. For years, organizations have utilized enterprise content management systems to store and archive vast amounts of valuable business documents and reports related to operations, customers and suppliers. These enterprise content management systems, which could be described as the "original Big Data systems," hold a tremendous amount of analytical value. Over the last several years, as the trends for faster results and improved decision-making have accelerated, organizations looking to leverage this valuable asset are turning to Datawatch to provide the technology to unlock this value. This major financial institution chose Datawatch Monarch Professional to replace ASG Software Solutions' DocuAnalyzer in order to modernize the solution and extend the value available from the information stored in its legacy Mobius ViewDirect content management system.
"With all the focus on using Big Data sources, the interest in leveraging the value of the terabytes of information locked in enterprise content management systems is exploding," said Ben Plummer, Chief Marketing Officer and Senior Vice President, Strategic Alliances for Datawatch. "We have seen this increasing interest not just from customers, but also from the major enterprise content management vendors and implementation partners as well. With this recent win, our customer not only recognized the added value that Datawatch Monarch Professional provides over DocuAnalyzer, but positioned itself to migrate from the legacy ASG Mobius ViewDirect platform in the future. Since Datawatch provides the same robust analytics across all enterprise content management systems, and works with leading enterprise content management systems from major vendors such as IBM, EMC, Open Text, Perceptive and Hyland, Datawatch can provide this Fortune 500 financial institution a transition path to a more modern enterprise content management store without needing to retrain their users or reinvest in new technology. "
DocuAnalyzer or Mobius ViewDirect customers that are exploring alternatives can contact Datawatch by email at firstname.lastname@example.org or by calling 1-978-275-8222 to learn more about the latest features and support options for the current version of Monarch Professional, as well as upgrade paths from DocuAnalyzer and Mobius ViewDirect.
ABOUT DATAWATCH CORPORATION
Datawatch Corporation (NASDAQ-CM: DWCH) is a leader in providing information optimization products and solutions that allow organizations to deliver the greatest data variety possible into their big data and analytic applications. Datawatch provides organizations the ability to integrate structured, unstructured, and semi-structured sources like reports, PDF files, and EDI streams into these applications to provide a 360 degree perspective of the issues and opportunities that exist in their businesses. More than 40,000 organizations worldwide use Datawatch's products and services, including 99 of the Fortune 100, and businesses of every type can benefit from the power and flexibility of Datawatch's industry leading solutions. Datawatch is headquartered in Chelmsford, Massachusetts with offices in London, Munich, Singapore, Sydney and Manila, and with partners and customers in more than 100 countries worldwide. For more information, visit www.datawatch.com.
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Any statements contained in this press release that do not describe historical facts may constitute forward-looking statements as that term is defined in the Private Securities Litigation Reform Act of 1995. Any such statements, including but not limited to those relating to results of operations, contained herein are based on current expectations, but are subject to a number of risks and uncertainties that may cause actual results to differ materially from expectations. The factors that could cause actual future results to differ materially from current expectations include the following: risks associated with the continuing weak global economy; risks associated with fluctuations in quarterly operating results due, among other factors, to the size and timing of large customer orders; the volatility of Datawatch's stock price; limitations on the effectiveness of internal controls; rapid technological change; Datawatch's dependence on the introduction of new products and possible delays in those introductions; competition in the software industry generally, and in the markets for information optimization in particular; Datawatch's dependence on its principal products, proprietary software technology and software licensed from third parties; risks associated with international sales; risks associated with indirect distribution channels; the adequacy of Datawatch's sales returns reserve; risks associated with a subscription sales model; risks associated with acquisitions, including the recent acquisition of intellectual property from Math Strategies; Datawatch's dependence on its ability to hire and retain skilled personnel; disruption or failure of Datawatch's technology systems that may result from a natural disaster, cyber-attack or other catastrophic event; and uncertainty and additional costs that may result from evolving regulation of corporate governance and public disclosure. Further information on factors that could cause actual results to differ from those anticipated is detailed in various publicly-available documents, which include, but are not limited to, filings made by Datawatch from time to time with the Securities and Exchange Commission, including but not limited to, those appearing in the Company's Annual Report on Form 10-K for the year ended September 30, 2012 and Form 10-Q for the quarter ending December 31, 2012. Any forward-looking statements should be considered in light of those factors.
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