Additional features of Datawatch Monarch for Watson Analytics and Cognos Analytics include:
- Simple data preparation - Drop a file or document on a prep canvas, and data is instantly available in rows and columns. More than 80 pre-built functions are available to transform and manipulate data with simple mouse clicks.
- Disparate data integration - Quickly combine dissimilar data using a joint analysis recommendation engine with fuzzy matching.
- Sharing and automation - Achieve transparency and reuse leveraging data preparation steps that are automatically saved in human-readable format.
- Security and information governance - Leverage features such as data masking to protect sensitive information, including patient names and social security numbers, and meet regulatory requirements.
"Datawatch's intuitive self-service data preparation technology was specifically designed for the everyday business user and is a perfect complement to IBM's modern business intelligence system," said Michael Morrison, president and CEO of Datawatch. "Users can now spend their time in high-value analytic activities and harness the full power of IBM's cognitive capabilities to derive new insights that have the potential to innovate and transform their business."Additionally, stop by Datawatch's booth (No. 512) at the Gartner Business Intelligence & Analytics Summit, taking place March 14-16, 2016 in Grapevine, Texas or attend the 10:45 a.m. session on March 14 regarding the "New Advances in Self-Service Data Preparation." To learn more about Datawatch Monarch for Watson Analytics and Cognos Analytics, go to http://www.datawatch.com/ibm-analytics. About Datawatch Corporation Datawatch Corporation (NASDAQ-CM: 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 1995Any 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. 1 Forrester Blog, 3 Ways Data Preparation Tools Help You Get Ahead Of Big Data, February 2015: http://ibm.biz/Bd4DJm 2 The Forrester Wave™: Big Data Hadoop Solutions, Q1 2014, http://ibm.biz/Bd4DJC © 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.
Media Contacts:Amanda BeaupreMarketing Communications Manager, Datawatch Corporationamanda_beaupre@datawatch.com 978-275-8387Twitter: @datawatch