Datawatch Delivers Better and Faster Data Prep with New Edition of Monarch
April 28 2016 - 11:46AM
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 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
Datawatch Corp. (delisted) (NASDAQ:DWCH)
Historical Stock Chart
From Jun 2024 to Jul 2024
Datawatch Corp. (delisted) (NASDAQ:DWCH)
Historical Stock Chart
From Jul 2023 to Jul 2024