Datawatch Monarch for IBM Watson Analytics and IBM Cognos Analytics Now Available
(Thomson Reuters ONE) -
Everyday business users now empowered with self-service data preparation
capabilities that drive more informed, strategic business decisions
BEDFORD, Mass., May 10, 2016 (GLOBE NEWSWIRE) -- Datawatch Corporation (NASDAQ-
CM: DWCH) today announced the immediate availability of Datawatch Monarch for
IBM Watson Analytics and IBM Cognos Analytics. Earlier this year, Datawatch
revealed that IBM (NYSE: IBM) would resell Datawatch Monarch to deliver better
and faster data access and self-service data preparation (prep) to its users.
Beginning today, those users can leverage Monarch to prep less, analyze more and
harness the power of IBM's cognitive computing capabilities across the widest
variety of data sources.
Data that provides the most analytical value has traditionally been locked away
in previously inaccessible multi-structured and unstructured documents, such as
text reports, web pages, PDFs, JSON and log files. And, in many instances, an
organization's source data is diverse and rarely presents itself in an analysis-
ready format. As a result, hours are spent on manual data retrieval and prep
processes.
The Datawatch Monarch self-service data prep solution enables data analysts and
everyday business users to rapidly access, manipulate and blend data from
virtually any source. Data can then be prepared for analysis in Watson Analytics
and Cognos Analytics in a fraction of the time that it takes using spreadsheets
and other manually-intensive measures.
"The majority of strategic business decisions are made on incomplete or outdated
information, due to data retrieval challenges and time-intensive manual prep
processes," said Michael Morrison, president and CEO of Datawatch. "This is an
unfortunate reality given the impact these decisions can have on a company's
bottom line and growth potential. Monarch enables Watson Analytics and Cognos
Analytics users to obtain not only the right information, but all of the
information, required to obtain a holistic view of the business, and then easily
and rapidly prepare it for analysis. Rather than spend hours on mundane prep
work, users can now devote their time to performing analysis that accelerates
decision making and drives business value."
IBM Vision
Dan Potter, Datawatch's chief marketing officer, is scheduled to present on new
advances in self-service data prep at the upcoming IBM Vision conference in
Orlando, Florida. Potter will discuss how self-service data prep enables users,
especially those in financial and operational performance management, to
leverage a wider variety of data, and reap faster and more accurate results.
He'll also demonstrate how an optimized data file can be prepared for direct
import into Watson Analytics and Cognos Analytics. Potter's session will take
place on Wednesday, May 11, at 11 a.m. ET.
To learn more about Datawatch Monarch for Watson Analytics and Cognos Analytics,
go to: http://www.datawatch.com/ibm-analytics.
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 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.
Media Contact:
Amanda Beaupre
Marketing Communications Manager, Datawatch Corporation
amanda_beaupre(at)datawatch.com
978-275-8387
Twitter: (at)datawatch
This announcement is distributed by GlobeNewswire on behalf of
GlobeNewswire clients. The owner of this announcement warrants that:
(i) the releases contained herein are protected by copyright and
other applicable laws; and
(ii) they are solely responsible for the content, accuracy and
originality of the information contained therein.
Source: Datawatch Corporation via GlobeNewswire
[HUG#2011258]
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Datum: 10.05.2016 - 14:55 Uhr
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