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Datawatch Corporation: Winners of University of New Hampshire Hackathon Make Case for How Donald Trump Can Win the Popular Vote

Students Used Datawatch Monarch and IBM Watson Analytics Software Tools to Blend Data from Disparate Sources and Perform Statistical AnalysisBEDFORD, Mass., Oct. 26, 2016 (GLOBE NEWSWIRE) -- Datawatch Corporation
(NASDAQ-CM:DWCH) today announced the results of the Datawatch and IBM Watson
Analytics Hackathon, which took place at the University of New Hampshire
(UNH) Peter T. Paul Entrepreneurship Center (ECenter) on October 21 and 22.
Utilizing the Datawatch Monarch data preparation platform and IBM Watson
Analytics software, a winning team of students combined numerous, disparate
data sources and performed automated, predictive analysis to make a
compelling case for how Donald J. Trump can win the popular vote this
presidential election.

The Datawatch and IBM Watson Analytics Hackathon was a 20-hour event that
brought together approximately 40 UNH students from all colleges and majors
to examine and analyze data sets related to demographics and the 2016 United
States presidential election. Designed to introduce students to the
revolutionary analytics approach that is smart data discovery, the hands-on
workshop afforded participants the opportunity to utilize innovative software
and experience the power of collaborative analysis.

"I don't believe any of the participants were political science majors, but
they had quite a bit of political insight and were able to use the datasets
in meaningful ways," said Andy Smith, director of the UNH Survey Center.
"Being a political scientist myself, I was impressed. I commend the students
for their dedication to the competition and the high quality of their
presentations. The teams had a lot to accomplish in a short time, with a
steep learning curve and software they weren't familiar with."

After receiving a 30-minute introduction to Datawatch Monarch and a 120-minute
demonstration of Watson Analytics, 10 student teams were unleashed with
several data sets and the software tools at 4 p.m. ET on Friday, October 21.
They were required to submit PowerPoint presentations of their analyses to
the judges at the UNH ECenter by 10 a.m. ET Saturday, October 22. Judges Andy
Smith, Dan Potter, CMO of Datawatch, and Laura Trouvais, academic program
administrator of IBM, evaluated the presentations based on six criteria,
including: proficiency in using each tool; creativity and logic in how the
analysis was conducted and insights were identified; the usefulness of those
insights; and the data visualizations, logic and flow of the presentation.

Once the students formulated their hypotheses, they used Datawatch Monarch to
unlock and blend data from numerous data sources and formats such as PDFs,
CSV files, Excel and Access databases, web content from several published
sources and sentiment data from social networks. The prepared data was then
processed in IBM Watson Analytics in the cloud, allowing the teams to create
data visualizations and dashboards in minutes.

"It was remarkable to see the depth of new insights students were able to
quickly gain by bringing together disparate sources with Monarch and
performing advanced analytics with IBM Watson," commented Dan Potter. "The
students didn't have any proficiency in the blending or analytics tools just
24 hours earlier. Their performance and the results of the competition are a
testament to how far this technology has come that people with no previous
experience with the software can immediately derive value from their data."

Laura Trouvais added, "We were glad to participate in the hackathon. We love
going to this type of event because it's so refreshing to see students
engaged with and interested in the products. The UNH students handled the
challenge well, and got a taste of real-world analytics with Watson Analytics
and Datawatch Monarch."

The winning team, comprised of undergraduate students Brandon Allen, TJ
Evarts, Max Miller and Sam Warach, analyzed U.S. Census data and state
polling information, as well as data from the 2012 presidential election to
determine the total number of current voters for Donald Trump and Hillary
Clinton. Using IBM Watson, they generated a line graph of voter loyalty for
each candidate throughout the past 10 months, which revealed that Trump's
core voter base has remained more consistent than Clinton's. The team
determined that if voters cast their ballots "today," Clinton would win the
popular vote by only four percent; however, if Clinton's voters, who have
been historically quick to change their opinion of the democratic candidate,
move to a third party, Trump can conceivably win the popular vote.

"I can speak for all of us when I say that we're really excited to have been
able to participate in this competition - and of course to have won," said
Sam Warach, Finance and International Affairs student at UNH (Class of 2017).
"We're all very grateful for this opportunity."

In addition to enjoying the prestige of the hackathon win, the winning team
members took advantage of an all-expenses paid trip to IBM's World of Watson
conference in Las Vegas this week to participate in an IBM academic program
and present their findings.

For more information about the Hackathon or to obtain a copy of the winning
team's presidential analysis, please contact

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.

Source: Datawatch

Media Contact:
Amanda Beaupre
Marketing Communications Manager, Datawatch Corporation
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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