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Datawatch Corporation, a leading global provider of visual analytics solutions, today was positioned for the first time in Gartner’s 2015 Magic Quadrant for Business Intelligence and Analytics Platforms.
This Magic Quadrant (MQ) helps CIOs, business and IT leaders, who are developing BI and analytics strategies, assess whether they have the right products and platforms to support them. The report features the 24 software vendors using rigorous analysis backed up by a highly structured methodology. Datawatch is the only new vendor debuting on this Gartner MQ this year.
“We believe the Gartner placement confirms our view of a rapidly developing market need for a platform to simplify business user data preparation and handle larger amounts of diverse and streaming data. This unprecedented combination of benefits is why Datawatch is the choice of organizations large and small throughout the world, including 93 of the Fortune 100,” said Michael A. Morrison, Datawatch’s president and chief executive officer.
According to Gartner,“With the added complexities introduced by new data sources (such as the cloud, real-time streaming events and sensors, and multi-structured data) and new types of analysis (such as link/network and sentiment analysis, and new algorithms for machine learning), new challenges and opportunities will emerge to integrate, govern and leverage these new sources to build business value.”
Datawatch’s Visual Analytics platform provides the industry’s only integrated and scalable solution to encompass the complete analytics lifecycle from acquisition, preparation, visual discovery, automation and governance. Datawatch’s unique ability to acquire, prepare, and transform data from structured and multi-structured sources such as PDF and log files, as well as real-time streaming data, into visually rich analytic applications allows users to dynamically discover key factors that impact any operational aspect of their business.
To download the full 2015 Gartner Magic Quadrant for Business Intelligence and Analytics Platforms report, visit datawatch.com/GartnerMQ.
About the Magic Quadrant
Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.
Gartner, Magic Quadrant for Business Intelligence and Analytics Platforms, Rita L. Sallam, Bill Hostmann, | Kurt Schlegel, Joao Tapadinhas, Josh Parenteau, Thomas W. Oestreich, 23 February 2015
About Datawatch Corporation
Datawatch Corporation (datawatch.com) provides the only platform for visual analytics to leverage any data at any speed delivering valuable insights for improving business. The unique ability to acquire, prepare, and transform data from structured and multi-structured sources such as PDF and log files, as well as real-time streaming data, into visually rich analytic applications allows users to dynamically discover key factors that impact any operational aspect of their business. This ability to perform visual discovery against any data at any speed sets Datawatch apart in the big data and visualization markets. 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, Munich, Stockholm, Singapore, Sydney and Manila, and with partners and customers in more than 100 countries worldwide.
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 forwardlooking statements should be considered in light of those factors.
Investor Contact: Datawatch Investor Relations
E: investor[.]datawatch.com - P: 978-441-2200 x8323
© 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.
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