BEDFORD, Mass., Sept. 22, 2016 (GLOBE NEWSWIRE) -- Datawatch Corporation (NASDAQ:DWCH) today announced it will co-host an upcoming webinar with IBM on "Advanced Data Access and Data Preparation for Cognos Analytics." The webinar will take place on Tuesday, September 27, 2016, at 1 p.m. ET.
Led by Dan Potter, chief marketing officer at Datawatch, and Jason Tavoularis, offering manager for Cognos Analytics at IBM, this webinar will teach attendees how to:
"The ability to unlock and prepare all available structured, multi-structured and unstructured data for analysis in visualization and analytics platforms, such as IBM Cognos Analytics, enables business users to get a holistic view of the business for improved decision making," commented Potter. "Too many organizations are struggling to find and access the right data for analysis, and the goal of this webinar is to demonstrate how, together, Datawatch Monarch and IBM Cognos Analytics, make rapid data prep and powerful cognitive computing a reality for businesses of all sizes."
To register for the webinar, please visit: http://www.datawatch.com/resource-center/webinars/advanced-data-access-data-preparation-cognos-analytics/. To learn more about Datawatch Monarch, go to http://www.datawatch.com/our-platform/monarch/.
About Datawatch Corporation
Datawatch Corporation (NASDAQ:DWCH) enables ordinary users to achieve extraordinary results with their data. Only Datawatch can unlock data from the widest variety of sources and prepare it for use in visualization and analytics tools, or for other business processes. When real-time visibility into rapidly changing data is critical, Datawatch also enables users to analyze streaming data, even in the most demanding environments, such as capital markets. Organizations of all sizes in more than 100 countries worldwide use Datawatch products, including 93 of the Fortune 100. The company is headquartered in Bedford, Massachusetts, with offices in New York, London, Frankfurt, Stockholm, Singapore and Manila. To learn more about Datawatch or download a free version of its enterprise software, please 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 contained herein, including but not limited to those relating to product performance and viability, 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: rapid technological change; Datawatch's dependence on the introduction of new products and product enhancements and possible delays in those introductions; acceptance of new products by the market, competition in the software industry generally, and in the markets for next generation analytics in particular; and Datawatch's dependence on its principal products, proprietary software technology and software licensed from third parties. 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, 2015. Any forward-looking statements should be considered in light of those factors.
© 2016 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.
Source: Datawatch
Media Contact:
Amanda Beaupre
Marketing Communications Manager, Datawatch Corporation
amanda_beaupre@datawatch.com
978-275-8387
Twitter: @datawatch
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