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Datawatch Corporation: Datawatch and Softmart Partner to Deliver Self-Service Data Prep to Companies Worldwide

Datawatch Monarch provides Softmart customers with the fastest and easiest way to acquire and prepare the widest variety of dataBEDFORD, Mass., May 11, 2016 (GLOBE NEWSWIRE) --Datawatch
Corporation(NASDAQ-CM:DWCH) today announced thatSoftmart, one of the world's
leading solution providers, will makeDatawatch Monarchavailable 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

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

Safe Harbor Statement under the Private Securities Litigation Reform Act of
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.

Media Contact:
Amanda Beaupre
Marketing Communications Manager, Datawatch Corporation
Twitter: @datawatch


This announcement is distributed by NASDAQ OMX Corporate Solutions on behalf of NASDAQ OMX Corporate Solutions clients.
The issuer of this announcement warrants that they are solely responsible for the content, accuracy and originality of the information contained therein.
Source: Datawatch Corporation via Globenewswire


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