Chelmsford, Mass.—October 31, 2013—Datawatch Corporation (NASDAQ-CM: DWCH), the leading global provider of visual data discovery solutions, announced today it will launch support for IBM’s TM1 in-memory database at the IBM Information On Demand (IOD) conference in Las Vegas, Nevada on Monday, November 4, 2013. This new capability will allow existing TM1 users to develop next generation business analytics solutions using the recently announced Datawatch Desktop visual data discovery technology.
Through the use of Datawatch Desktop, TM1 users will be able to design and build applications that offer a visually rich data discovery environment directly against TM1 Cube Views. In addition to being able to incorporate TM1 data into these visualizations, users will also be able to include real- time sources of data, including message buses, tick databases and data from CEP engines as well as less than structured sources of data such as PDF’s, print spools, log files and other difficult to access sources of data. This ability to deliver any data, at the speed of business, offers IBM customers the opportunity to build a new class of analytic applications, delivering data variety, velocity and volume through the use of one product.
“We are extremely excited to be able to announce support for IBM TM1 as part of our participation in IBM’s IOD conference,” said Ben Plummer, chief marketing officer and senior vice president of Strategic Alliances for Datawatch. “IBM’s customers understand the value of analytics and by using Datawatch’s next generation analytics in combination with TM1, as well as other IBM sources of data like IBM Content Manager OnDemand (CMOD), for which we also recently announced a partnership, they are going to be able to greatly extend the analytic value of all the data in their organizations regardless of its velocity or structure.”
The integration with TM1 was achieved using native APIs versus a more generic MDX approach, allowing TM1 customers to access Cube Views and Subsets directly and with greater performance. Datawatch will be demonstrating the solution in the IBM Business Analytics section of IOD at booth number 1015-G or you can learn more by visiting datawatch.imarc.io.
ABOUT DATAWATCH CORPORATION
Datawatch Corporation (NASDAQ-CM: DWCH) provides visual data discovery software that optimizes any data – regardless of its variety, volume, or velocity – delivering next generation analytics to reveal valuable insights for improving business. Its unique ability to integrate structured, unstructured, and semi-structured sources like reports, PDF files and EDI streams with real-time streaming data into visually rich analytic applications allow users to dynamically discover key factors that impact any operational aspect of their business. This ability to perform visual discovery against any data sets Datawatch apart in the big data and visualization markets.
Organizations of every size, worldwide use Datawatch, including 99 of the Fortune 100. Datawatch is headquartered in Chelmsford, Massachusetts with offices in New York, London, Munich, Stockholm, Singapore, Sydney and Manila, and with partners and customers in more than 100 countries worldwide. See the Whole Story for yourself by downloading the free trial at datawatch.imarc.io/trial.
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; risks associated with acquisitions, including the recent acquisition of intellectual property from Math Strategies and the acquisition of Panopticon; 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 and operations; risks associated with indirect distribution channels; the adequacy of Datawatch’s sales returns reserve; risks associated with a subscription sales model; 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, Form 10-Q for the quarters ended December 31, 2012, March 31, 2013 and June 30, 2013, and Definitive Proxy Statement on Schedule 14A filed with the SEC on August 5, 2013. Any forward-looking statements should be considered in light of those factors.
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