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

Datawatch Corporation
Press release

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

BEDFORD, Mass., 2016-11-15 14:55 CET (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

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

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

“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:

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
Twitter: @datawatch

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