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Datawatch Corporation: New Ovum Report Says Datawatch Monarch Solves Urgent Data Preparation Problems for All Kinds of Self-Service Analytics

"Battle Tested by Years of Experience Working With Financial Data"CHELMSFORD, Mass., Aug. 31, 2015 (GLOBE NEWSWIRE) -- Companies who need to blend complex datasets from extremely diverse data sources for self-service analytics would be wise to use Datawatch Monarch. That is one of several key findings from a recently published evaluation of the technology by global IT research and analyst firm, Ovum.Ovum's new SWOT Assessment: Datawatch Monarch, Version 13 report digs deep
under the hood of Datawatch Corporation's (NASDAQ:DWCH) flagship software to
objectively assess its strengths, weaknesses, opportunities and threats
(SWOT) in the fast-growing market for desktop-based self-service analytics

"Compared to many vendors that are barely past their start-up roots in the
self-service analytics world, Datawatch is a 20 year old data management
veteran. The vendor has successfully catered to complex data management
challenges at very large clients and its software has been battle-tested in
regulated verticals such as financial services and healthcare." - OVUM

"Datawatch Monarch is the only solution that can automatically extract data
trapped in reports, files, web pages and other multi-structured content not
accessible to analytics tools," said Dan Potter, chief marketing officer for
Datawatch. "You can quickly prepare and blend this multi-structured data
together with data from other sources including Big Data, and traditional
relational sources. It enables users to create rich, interactive data-driven
solutions to complex business problems at a fraction of the cost and time of
a traditional BI project."

Because handling data from diverse sources is one of the biggest problems
impeding analytics, Ovum's Senior Analyst, Surya Mukherjee, finds that
"Datawatch Monarch addresses a significant concern that we see plaguing
self-service analytics vendors - of blending, viewing, and wrangling complex
datasets that generate from three or more data sources, none of which have
the same schema, update schedules, or even security levels. The product
differentiates on the wide variety of sources it can work with (even website
scrapes and pdf documents) and on the granular security levels it can provide
- battle-tested by years of experience of working with financial data. We
believe that with the right technology and system integration partnerships,
Datawatch Monarch is ready for accelerated growth."

The report cites four core strengths of the software in particular that make
it ideal for visual analytics, dash-boarding and reporting while working
within established governance and mandates around managing data:

* Its ability to provide a full range of integration methods and connectors,
differentiating on file systems connections and scraping capabilities
* Its suitability for complex data blending jobs involving multiple disparate
* A graphical and easy-to-use interface, even for a new user
* And strong data security and governance capabilities.

"We are pleased that Ovum's assessment acknowledges the core differentiation
for Datawatch which addresses the most significant concerns in the rapidly
growing self-service analysis market," said Potter. "Our ability to handle
both the complex data with the same ease as other traditional data is unique
and our customers are fully realizing the agility of self-service analytics."

Ovum's SWOT reports are an independent assessment of a specific solution or
service, examining features and capabilities, SWOT analysis, enterprise
deployment considerations, and vendor's product strategy.

Compared to many vendors that are barely past their start-up roots in the
self-service analytics world, Datawatch is a 20 year old data management
veteran. The vendor has successfully catered to complex data management
challenges at very large clients and its software has been battle-tested in
regulated verticals such as financial services and healthcare.

Ovum is a leading global technology research and advisory firm. Through its
180 analysts worldwide it offers expert analysis and strategic insight across
the IT, telecoms, and media industries. Founded in 1985, Ovum has one of the
most experienced analyst teams in the industry and is a respected source of
guidance for technology business leaders, CIOs, vendors, service providers,
and regulators looking for comprehensive, accurate, and insightful market
data, research, and consulting. With 23 offices across six continents, Ovum
offers a truly global perspective on technology and media markets and
provides thousands of clients with insight including workflow tools,
forecasts, surveys, market assessments, technology audits, and opinion. In
2012, Ovum was jointly named Global Analyst Firm of the Year by the IIAR.

Ovum is a division of Informa plc, one of the leading business and academic
publishing and event organisers globally, headquartered in London. Informa is
quoted on the London Stock Exchange.

About Datawatch Corporation
Datawatch Corporation (NASDAQ:DWCH) provides the only Managed Analytics
Platform that brings together self-service data preparation with visual data
discovery. Its software bridges the gap between the ease that business
user's demand and the automation and governance needed by IT. Users can
quickly discover key factors that improve their business by transforming data
from multi-structured sources, as well as real-time streaming data, into
visually rich analytic applications. Organizations of every size, worldwide
use Datawatch products, including 93 of the Fortune 100. Datawatch is
headquartered in Chelmsford, Massachusetts with offices in New York, London,
Frankfurt, Stockholm, Singapore, Melbourne and Manila, and with partners and
customers in more than 100 countries worldwide. Learn more at

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, 2014 and Forms 10-Q for the quarters ending
December 31, 2014, March 31, 2015 and June 30, 2015. Any forward-looking
statements should be considered in light of those factors.

© 2015 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.

Investor Contact:
Datawatch Investor Relations
Phone: (978) 441-2200 ext. 8323

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


This announcement is distributed by NASDAQ OMX Corporate Solutions on behalf of NASDAQ OMX 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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