Datawatch Brings Advanced Visual Data Discovery To Splunk Users

       Datawatch Brings Advanced Visual Data Discovery To Splunk Users

New Datawatch Accelerator Expands the Reach of Operational Intelligence

PR Newswire

CHELMSFORD, Mass., Nov. 11, 2013

CHELMSFORD, Mass., Nov. 11, 2013 /PRNewswire/ --Datawatch Corporation
(NASDAQ-CM: DWCH), the leading global provider of visual data discovery
solutions, announced a new Visualization Accelerator that allows Splunk users
to develop highly customized real-time visualizations against their Splunk
data without any coding or scripting, allowing them to realize the full
potential of Operational Intelligence by monitoring and analyzing the machine
data made accessible through Splunk as well as other enterprise data sources
and data streams.

(Logo: http://photos.prnewswire.com/prnh/20121015/NE92833LOGO )

With Datawatch, users can connect to almost any source of information,
including Splunk, to develop visual data discovery applications using an
elegant drag-and-drop design environment. These next generation analytic
extensions to Splunk applications can include high impact customized
visualizations and intuitive filtering controls to help users quickly isolate
outliers and anomalies in their data.

In addition to easy design, Datawatch users can unify the display of data from
multiple Splunk searches, as well as include data from other sources such as
semi-structured, unstructured and real-time data sources. And when combined
with Datawatch Server, these next generation analytical applications can be
shared across the entire enterprise via a browser-based solution, allowing for
greater visibility and collaboration.

"Splunk customers have embraced the value of less-than-structured data, like
machine log files, and we at Datawatch have a long heritage of helping
customers gain value from this type of data," said Ben Plummer, chief
marketing officer and senior vice president of Strategic Alliances. "We are
very excited about being able to offer Splunk users the ability to get even
more from their investment through the use of Datawatch's next generation
analytic capabilities and our new Visualization Accelerator for Splunk."

The Datawatch Visualization Accelerator for Splunk connects directly to on
premise and cloud-based Splunk deployments. To showcase this new solution,
Datawatch has provided a free trial together with access to the Splunk demo
instance running in the cloud. Splunk users can now easily see the value of
using Datawatch's visual data discovery capabilities in a Splunk environment
by visiting www.datawatch.com/splunk.

ABOUT DATAWATCH CORPORATION

Datawatch Corporation (NASDAQ-CM: DWCH) provides visual data discovery
software that optimizes any data – regardless of its variety, volume, or
velocity – delivering next generation analytics to reveal valuable insights
for improving business. Its unique ability to integrate structured,
unstructured, and semi-structured sources like reports, PDF files and EDI
streams with real-time streaming data into visually rich analytic applications
allow users to dynamically discover key factors that impact any operational
aspect of their business. This ability to perform visual discovery against any
data sets Datawatch apart in the big data and visualization markets.
Organizations of every size, worldwide use Datawatch, including 99 of the
Fortune 100. Datawatch is headquartered in Chelmsford, Massachusetts with
offices in New York, London, Munich, Stockholm, Singapore, Sydney and Manila,
and with partners and customers in more than 100 countries worldwide. See the
Whole Story for yourself by downloading the free trial at
www.datawatch.com/trial.

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,
including but not limited to those relating to results of operations,
contained herein 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:
risks associated with the continuing weak global economy; risks associated
with fluctuations in quarterly operating results due, among other factors, to
the size and timing of large customer orders; risks associated with
acquisitions, including the recent acquisition of intellectual property from
Math Strategies and the acquisition of Panopticon; the volatility of
Datawatch's stock price; limitations on the effectiveness of internal
controls; rapid technological change; Datawatch's dependence on the
introduction of new products and possible delays in those introductions;
competition in the software industry generally, and in the markets for
information optimization in particular; Datawatch's dependence on its
principal products, proprietary software technology and software licensed from
third parties; risks associated with international sales and operations; risks
associated with indirect distribution channels; the adequacy of Datawatch's
sales returns reserve; risks associated with a subscription sales model;
Datawatch's dependence on its ability to hire and retain skilled personnel;
disruption or failure of Datawatch's technology systems that may result from a
natural disaster, cyber-attack or other catastrophic event; and uncertainty
and additional costs that may result from evolving regulation of corporate
governance and public disclosure. 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, 2012, Form 10-Q
for the quarters ended December 31, 2012, March 31, 2013 and June 30, 2013,
and Definitive Proxy Statement on Schedule 14A filed with the SEC on August 5,
2013. Any forward-looking statements should be considered in light of those
factors.

Investor Contact:
Datawatch Investor Relations
investor@datawatch.com
Phone: (978) 441-2200 ext. 8323

Media Contact:
Sarah Bernardi
Datawatch Corporation
Sarah_Bernardi@datawatch.com
Phone: (978) 441-2200 ext. 8387
Twitter: @datawatch

© 2013 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 Corporation

Website: http://www.datawatch.com
 
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