Datawatch Monarch for IBM Watson Analytics and IBM Cognos Analytics Now Available
May 10 2016 - 8:55AM
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incomplete or outdated information, due to data retrieval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 VisionDan 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 CorporationDatawatch
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 1995Any 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@datawatch.com
978-275-8387
Twitter: @datawatch
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