BEDFORD, Mass, April 26, 2016 (GLOBE NEWSWIRE)
-- Datawatch Corporation (NASDAQ-CM: DWCH) today
announced the immediate availability of Datawatch Monarch 13.3, the
latest edition of the company's first-to-market self-service data
prep solution. Datawatch Monarch enables business users to acquire,
manipulate and blend data from virtually any source. The new
product release delivers better and faster data access and data
prep through advanced functionality, unrivaled simplicity and
enhanced information governance.
A recent study from Blue Hill Research
found that the typical data analyst spends, on average, two hours a
day on data prep activities, which equates to roughly $22,000 per
year, per analyst. Datawatch Monarch enables both data analysts and
novice business users to drastically reduce their data prep time by
quickly and easily acquiring and preparing data locked away in
previously inaccessible multi-structured, semi-structured and
unstructured sources, such as text reports, web pages, PDFs, JSON
and log files. With the ability to retrieve and use not only the
right data, but all of the data required to get the whole story,
Monarch users can focus on performing analysis that will result in
timely, more informed business decisions and better operational
processes.
"The increasing scales and variety of data that
organizations are encountering have compounded to make data prep
activities a substantial part of the data analyst workflow," said
James Haight, principal analyst at Blue Hill Research. "Our
research shows that this presents a significant financial burden on
organizations as they divert valuable human capital into data prep
and away from value-added analysis on their data."
Key new features of Monarch 13.3 include:
- Fuzzy
Matching - Fuzzy join logic matches non-identical,
but similar, values and inconsistent data across sources.
- Load Plan
Visualization - Visual representation of load plan
operations and data lineage to boost information governance and
compliance.
- Smart Append
Operations - Easy-to-use wizard allows the
consolidating of data from similar sources.
- Advanced
Calculations - A robust set of advanced calculations,
including if-then-else logic, optimized calculations for data
cleansing and built-in fiscal period logic, underscored by
point-and-click simplicity.
- Prep
Filters - Comprehensive filtering reduces large data
sets to required subsets for ease-of-use.
Monarch 13.3 also includes a new Angoss
Software export, improved JSON/XML connectivity, custom report
format options and localization support to personalize data sets
from multiple geographies.
"For the past 20 years, thousands of customers
have relied on Datawatch to prep less and analyze more, saving not
only valuable analyst time but company dollars as well," said Jon
Pilkington, chief product officer at Datawatch. "We are the only
data prep provider empowering ordinary business users to turn data
into intelligence for analytic and operational processes. Monarch 13.3 continues
this legacy with new features designed to make self-service data
prep even easier, so users can effortlessly deliver business
value."
To learn more about Datawatch Monarch 13.3, view
Datawatch's recent webinar, "What's New in Monarch 13.3," or
visit: http://www.datawatch.com/our-platform/monarch/.
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.