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How to Use Predictive Analytics With Any Data at Real-Time Speeds

CHELMSFORD, Mass., June 8, 2015 (GLOBE NEWSWIRE) -- Organizations are using visual data discovery and predictive analytics to define patterns and trends in Big Data to make well-informed predictions about the future. The technology has yielded breakthroughs in everything from finding new energy sources and healthcare therapies to eradicating urban rodent populations.

At this week's Predictive Analytics World, Datawatch Corporation's (Nasdaq:DWCH) Dan Potter will show businesses how they can best harness the latest advances in this technology to make breakthrough business decisions.

In his keynote presentation titled Advanced Analytics for Any Data at Real-Time Speed, Potter will discuss how a new-found ability to prepare, incorporate, enrich and visualize streaming data for advanced visual analysis is essential for making timelier, high-impact business decisions in tough competitive markets. The event is being held at the Chicago Hilton.

"Organizations are stuck in the traditional mold of analytics asking the question 'What just happened' when they should be in a proactive mode of 'Tell me when something important is likely to occur'," Potter said. "Today, data is flowing into organizations at unheard-of speeds from a variety of sources, including streaming data from the Internet of Things. This multi-structured and real-time data contains the digital tea leaves revealing potential outcomes of business decisions, if only the data could be harvested, prepared and visualized in real-time. This presentation will show attendees how."

Potter is Chief Marketing Officer at Datawatch, where he is responsible for the worldwide marketing communications, product marketing and go-to-market strategies. Potter is an accomplished public speaker with numerous presentations delivered at major industry events.

Potter's presentation will take place on the second day of the event, June 10th, at 8:50 a.m. CT.

About Datawatch Corporation

Datawatch Corporation (Nasdaq:DWCH) provides the only Managed Analytics Platform that brings together self-service data preparation with visual data discovery. Its software bridges the gap between the ease that business user's demand and the automation and governance needed by IT. Users can quickly discover key factors that improve their business by transforming data from multi-structured sources, as well as real-time streaming data, into visually rich analytic applications. Organizations of every size, worldwide use Datawatch products, including 93 of the Fortune 100. Datawatch is headquartered in Chelmsford, Massachusetts with offices in New York, London, Frankfurt, Stockholm, Singapore, Melbourne and Manila, and with partners and customers in more than 100 countries worldwide. Learn more at 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 long sales cycle with enterprise customers and the size and timing of large customer orders; risks associated with acquisitions, including the acquisition and integration of Panopticon; the risk that our goodwill resulting from acquisitions may become impaired and require a write-down; limitations on the effectiveness of internal controls; rapid technological change; Datawatch's dependence on the introduction of new products and product enhancements and possible delays in those introductions; competition in the software industry generally, and in the markets for next generation analytics in particular; Datawatch's dependence on its principal products, proprietary software technology and software licensed from third parties; Datawatch's concentration of customers in the financial sector; risks associated with international sales and operations; risks associated with indirect distribution channels and co-marketing arrangements, many of which were only recently established; 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, security breach 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, 2014 and Form 10-Q for the quarter ending December 31, 2014. Any forward-looking statements should be considered in light of those factors.

© 2015 Datawatch Corporation. Datawatch and the Datawatch logo are trademarks or registered trademarks of Datawatch Corporation in the United States and/or other countries. All other names are trademarks or registered trademarks of their respective companies.

CONTACT: Investor Contact: Datawatch Investor Relations investor@datawatch.com Phone: (978) 441-2200 ext. 8323 Media Contact: Sarah Bernardi Datawatch Corporation Sarah_Bernardi@datawatch.com Phone: (978) 441-2200 ext. 8387 Twitter: @datawatch

Source:Datawatch Corporation