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2016-11-15

Datawatch Corporation: KPMG Relies on Datawatch Monarch Self-Service Data Prep Platform to Speed Time to Analysis

Professional Services Giant Uses Datawatch with Tableau to Perform Faster,
Accurate and More In-depth Assessments of Healthcare Clients' Financial
Performance

BEDFORD, Mass., Nov. 15, 2016 (GLOBE NEWSWIRE) -- Datawatch Corporation
(NASDAQ:DWCH) today announced that KPMG is utilizing the Monarch self-service
data preparation (prep) platform to access, blend, cleanse and prepare data
for visualization and further analysis in Tableau. Many business users across
the KPMG organization are relying on Monarch. Its Healthcare and Life
Sciences Practice, in particular, has been utilizing the platform for more
than three years to expedite assessments of its clients' financial
performance. What used to take a team of people up to 12 weeks to complete
can now be accomplished in approximately five weeks, resulting in substantial
cost savings for KPMG's clients.

The KPMG Healthcare and Life Sciences Practice helps healthcare providers
analyze their revenue cycles, identify where they may have operational
shortcomings and determine how they can improve performance. As part of that
process, KPMG must obtain and blend data from each client's multiple
disparate systems to create point-in-time snapshots of the respective
healthcare provider's business. Traditionally, this data was difficult to
extract and consume; in fact, there were certain types of data that KPMG
couldn't access at all, such as 835 Payer Remittance files. When Michael
Duke, managing director at KPMG and long-time user of Monarch arrived at the
firm in 2013, he introduced the Datawatch platform as the solution to the
practice's data preparation problems.

Datawatch Monarch is equipping KPMG's business analysts to easily and rapidly
mine data from any source, in any format (e.g. CSV, PDF, Excel and text-based
extracts, etc.), and prepare it for analysis. The nature of the work KPMG
performs for clients is very content rich, requiring team members to
understand client data to manipulate it. Monarch makes it simple for business
users to apply their knowledge and develop repeatable models that extract the
right data for each assessment as well as ensure data accuracy and
consistency - all without having to be IT savvy or employ advanced ETL
processes.

"Datawatch Monarch is a powerful self-service solution that not only radically
reduces the time we spend on data prep for each client assessment, but also
gives us the ability to expand the breadth and depth of our analysis," said
Duke. "Before employing Monarch, we used to have to make predictions about a
client's financial performance improvement based on only 30 days' worth of
data. Data prep was a hefty, manual process. Now, we can almost effortlessly
take a year's worth of transaction-level data, equating to millions and
millions of rows, and prepare it for visualization in Tableau. As a result,
our predictions of clients' performance outcomes are far more informed and
precise."

KPMG's Healthcare and Life Sciences practice has been utilizing Datawatch in
tandem with Tableau since adopting the solutions three years ago. Everyone in
the practice gets a desktop license of Tableau from day one of their
employment, and it's used for all analysis on client sites. Data is prepared
in Monarch and pushed to SQL; then visuals are overlaid on the new data sets
in Tableau.

"With Monarch, KPMG's team can prep less and analyze more, saving its clients
considerable money and enabling the professional services firm to maximize
its internal resources," said Dan Potter, CMO, Datawatch. "This is an
exemplary use case for our self-service data prep platform. We are empowering
the business analyst to solve 'the problem of the moment' by giving them the
ability to easily access and manipulate data, without reliance on IT. By
combining Datawatch with Tableau, KPMG can tap all of the underlying data it
needs and swiftly make that data analytics-ready so that team members can
maximize the insights they gain from the Tableau platform."

About Datawatch Corporation
Datawatch Corporation (NASDAQ: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
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.

© 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.

Source: Datawatch
Media Contact:

Amanda Beaupre
Marketing Communications Manager, Datawatch Corporation
amanda_beaupre@datawatch.com
978-275-8387
Twitter: @datawatch

---------------------------------------
This announcement is distributed by Nasdaq Corporate Solutions on behalf of Nasdaq 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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