Datawatch Monarch provides Softmart customers with the fastest and easiest way to acquire and prepare the widest variety of data
BEDFORD, Mass. – May 11, 2016 – Datawatch Corporation (NASDAQ-CM: DWCH) today announced that Softmart, one of the world’s leading solution providers, will make Datawatch Monarch available to its more than 75,000 customers across the globe. Datawatch Monarch is Datawatch’s premier self-service data preparation (prep) solution, which enables business users to rapidly access, manipulate, blend and prepare data from virtually any source.
Softmart is a global supplier of complete IT solutions, providing cloud, software, hardware and technology services for business, government, education and healthcare environments. Through this partnership, Softmart customers around the world now have access to Datawatch Monarch, which provides the fastest and easiest way to acquire and prepare data from the widest variety of sources, including multi-structured content such as PDFs, XML, JSON, HTML, text, spool and ASCII files.
“Self-service data prep technology has become an absolute necessity for any organization seeking to maximize the ROI of their business intelligence and analytics investments,” said Jamie Cook, chief operating officer at Softmart. “Datawatch not only pioneered data prep, but continues to set the bar for ease-of-use and access to multi-structured data. Datawatch Monarch complements the solutions that we sell by helping us to improve our customers’ IT infrastructure. It’s a powerful tool that drastically reduces the amount of time business users spend on data prep, enabling them to focus instead on performing analysis that will drive decision making.”
While the need for data prep is widely acknowledged, many organizations don’t have the right tools to unlock their data. Datawatch Monarch empowers users to obtain better insights from greater data variety by providing them with the ability to rapidly retrieve and prepare data from previously inaccessible multi-structured and unstructured sources. Data can be prepared efficiently for operational analysis or use with visualization and cognitive tools, such as Tableau or IBM Watson Analytics, in a fraction of the time that it takes using spreadsheets and other manually-intensive measures.
“Being able to access data sources that hold the most analytic value opens up a whole new world for business users and data scientists,” said Dan Potter, chief marketing officer at Datawatch. “With Monarch, they no longer have to make critical business decisions based on incomplete data. Instead, they can capture all of the relevant data, which is often locked in difficult formats and is a key requirement to better understand their business.”
For more information on Datawatch, please visit: datawatch.imarc.io.
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: datawatch.imarc.io.
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.
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Marketing Communications Manager, Datawatch Corporation
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