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Datawatch Brings Powerful Self-Service Data Preparation Capabilities to IBM Watson Analytics and IBM Cognos Analytics Users

Datawatch Corporation
Press release

Datawatch Brings Powerful Self-Service Data Preparation Capabilities to IBM
Watson Analytics and IBM Cognos Analytics Users

Citizen analysts now able to harness the power of cognitive computing across
the widest variety of data sources to drive more informed, strategic business

BEDFORD, Mass., 2016-03-14 13:55 CET (GLOBE NEWSWIRE) --
Datawatch Corporation (NASDAQ-CM: DWCH) today announced it has teamed with IBM
(NYSE: IBM) to deliver better and faster data access and self-service data
preparation to IBM Watson Analytics and IBM Cognos Analytics users. As part of
this agreement, IBM will resellDatawatch Monarch, Datawatch’s market-leading
self-service data preparation solution, which enables business analysts to
rapidly access, manipulate and blend data from the widest variety of sources.

Self-service data preparation is one of the key components in an effective
analytics strategy; however in many instances an organization’s source data is
diverse and rarely presents itself in a form that is accessible or in the
format needed to perform analytics. Data sources come in a wide range of report
formats, which often require IT intervention to make it usable to the average
line of business user or citizen analyst. In fact, business analysts and data
scientists typically spend up to 80 percent1 of their time manually preparing
data, and it’s estimated that only 12 percent2 of enterprise data is used today
to make decisions.

With Datawatch Monarch, IBM Watson Analytics and Cognos Analytics users can now
rapidly prepare data from virtually any information source, from traditional
databases to multi-structured documents, such as PDF and text reports, Web
pages, JSON and log files that had previously been locked away. Data can now be
prepared for analysis in a fraction of the time that it takes using
spreadsheets and other manually-intensive measures.

“Many organizations still do not have access to the underlying data needed for
critical business insights and as a result are spending entirely too much time
preparing data and not enough time analyzing,” said Marc Altshuller, Vice
President, Watson Analytics and Business Intelligence, IBM Analytics. “The
ability to simply send data accessed and prepared in Datawatch directly to
Watson Analytics and Cognos Analytics will enable businesses to quickly select
any data source and automatically convert it into structured data for analysis.
This will not only expedite time to insight, but it increases the likelihood
of uncovering new insights that have the potential to transform the business.”

Additional features of Datawatch Monarch for Watson Analytics and Cognos
Analytics include:

-- Simple data preparation – Drop a file or document on a prep canvas, and
data is instantly available in rows and columns. More than 80 pre-built
functions are available to transform and manipulate data with simple mouse
-- Disparate data integration – Quickly combine dissimilar data using a joint
analysis recommendation engine with fuzzy matching.
-- Sharing and automation – Achieve transparency and reuse leveraging data
preparation steps that are automatically saved in human-readable format.
-- Security and information governance – Leverage features such as data
masking to protect sensitive information, including patient names and
social security numbers, and meet regulatory requirements.

The Fauquier Bank, established in 1902, is an independent, locally-owned
community bank offering a full range of financial services for commercial and
retail customers including internet banking, insurance, wealth management and
financial planning based in Virginia.

“Datawatch has increased the use of information throughout the organization.
Before this, it was inconceivable to bring data from different areas into one
data set that could be used for security, marketing, audits and other business
line decisions that would directly impact the bottom line,” said Janet
Grimsley, Vice President, Decision Support. “The new relationship with IBM
Watson Analytics extends the value by delivering powerful predictive analytics
capabilities using simple natural language queries.”

Southeastern Med is an acute healthcare center serving some 4,000 inpatients
and 100,000 outpatients. Similarly, they use Datawatch to access and prepare
data from previously inaccessible sources like PDF reports to provide a more
comprehensive understanding of their business and conform to regulatory

“We think the combination of Datawatch and IBM Watson Analytics is very well
suited for self-service analytics,” said Clark Carpenter, infrastructure
supervisor at Southeastern Med. “Datawatch unlocks and prepares the data
quickly and easily, and with the new ability to send data directly into IBM
Watson Analytics, we think this opens up powerful cognitive computing based
insights to a much wider range of users.”

“Datawatch’s intuitive self-service data preparation technology was
specifically designed for the everyday business user and is a perfect
complement to IBM’s modern business intelligence system,” said Michael
Morrison, president and CEO of Datawatch. “Users can now spend their time in
high-value analytic activities and harness the full power of IBM’s cognitive
capabilities to derive new insights that have the potential to innovate and
transform their business.”

Additionally, stop by Datawatch’s booth (No. 512) at the Gartner Business
Intelligence & Analytics Summit, taking place March 14-16, 2016 in Grapevine,
Texas or attend the 10:45 a.m. session on March 14 regarding the “New Advances
in Self-Service Data Preparation.”

To learn more about Datawatch Monarch for Watson Analytics and Cognos
Analytics, go to

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:

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.

1 Forrester Blog, 3 Ways Data Preparation Tools Help You Get Ahead Of Big Data,
February 2015:

2 The Forrester Wave™: Big Data Hadoop Solutions, Q1 2014,

© 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 Contacts:
Amanda Beaupre
Marketing Communications Manager, Datawatch Corporation
Twitter: @datawatch

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