Additional features of Datawatch Monarch for Tableau include:
- Simple, Yet Advanced Data Preparation - Drop a file or document on a prep canvas, and data is instantly available in rows and columns. More than 100 pre-built functions, including deduplication, fuzzy matching and negative joins, are available to transform and manipulate data with simple mouse clicks.
- The Ability to Work with Very Large Data Sets - Perform data prep on a subset of loaded data first for improved data processing speed and efficiency, and then apply finalized workflows to the full data set before uploading for visual analysis.
- Built-in 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.
- Optional Automation Server - Augment with Monarch Server Automation Edition to define, schedule and execute repeatable data prep processes.
Pricing and AvailabilityDatawatch Monarch for Tableau is available now for $39 per user per month. Alteryx users interested in the trade-in program can contact Datawatch sales at 1-800-445-3311.To learn more about the solution, go to http://www.datawatch.com/our-platform/monarch/. 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. © 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 Contact:Amanda BeaupreMarketing Communications Manager, Datawatch Corporationamanda_beaupre@datawatch.com978-275-8387Twitter: @datawatch