DATAWATCH ANNOUNCES MACHINE DATA APPLICATION ACCELERATOR FOR WINDOWS®
Solution Allows Users to Experience the Power and Flexibility of Using Datawatch to Analyze Unstructured and Semi-Structured Machine Data
Chelmsford, Mass.—April 2, 2013—Datawatch Corporation (NASDAQ-CM: DWCH), the leading global provider of information optimization solutions, announced today the immediate availability of a new offering in the Datawatch Solution Catalog that enables Datawatch Monarch Professional users to analyze Windows Event Logs and to run hardware and software inventory reports on their computers. This new Accelerator is designed to demonstrate Datawatch’s ability to ingest and analyze machine data sources like those found in Windows® performance monitor logs. It provides Datawatch customers visibility into how to apply the Datawatch Information Optimization Platform to other machine data problems within their IT operations. The Datawatch Machine Audit Accelerator for Windows is available free of charge, and can be evaluated in conjunction with a free trial version of Datawatch Monarch Professional Version 11, available for either 32-bit or 64-bit versions of Windows.
“The ability to ingest and analyze machine data has always been an inherent capability of the Datawatch platform”, says Joe Pusztai, Vice President of Solutions for Datawatch. “The Machine Audit Accelerator for Windows provides a simple and easy way to leverage Datawatch technology for machine data analysis, and provides valuable management information to end-users and network administrators to verify software and hardware conformance, and to detect and diagnose unusual machine activity”.
“As organizations look to leverage more types of data, including machine data, and blend that with other unstructured and semi-structured content, Datawatch begins to differentiate itself in the Big Data market. Our ability to deliver more solutions, like the Machine Audit Accelerator for Windows, through our solutions catalog will help our customers derive even more value from their investment in Datawatch,” added Ben Plummer, Chief Marketing Officer and Senior Vice President of Alliances for Datawatch.
The Machine Audit Accelerator for Windows is one of a growing catalog of machine data and general business solutions available and under development from Datawatch. These solutions range from Accelerators that help customer envision the power of the Datawatch solution to comprehensive management blueprints designed to deliver information optimization capabilities for a wide range of vertical industries and business processes. For customers or prospects wishing to experience the power of this Accelerator and Datawatch Monarch Professional, it is available for download at www.datawatch.com/MAAW.
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.
Safe Harbor Statement under the Private Securities Litigation Reform Act of 1995
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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