Datawatch Unstructured Data Connector For QlikView Now Available On QlikMarket Business Discovery Solution Exchange

Datawatch Unstructured Data Connector For QlikView Now Available On QlikMarket 
Business Discovery Solution Exchange 
Datawatch and QlikTech Partner to Incorporate Unstructured and Semi-Structured 
Data Into Data Discovery Applications 
CHELMSFORD, Mass., March 26, 2013 /CNW/ - Datawatch Corporation (NASDAQ-CM: 
DWCH), the leading global provider of information optimization software and 
services, today announced the availability of Datawatch's Unstructured Data 
Connector for QlikView on QlikMarket (  QlikMarket is 
QlikTech's Web marketplace that delivers an easy, interactive way for QlikTech 
customers to evaluate and acquire the useful technologies and applications 
that leverage the QlikView Business Discovery platform. 
(Logo: ) 
Building on the alliance announced earlier last year between Datawatch and 
QlikTech, Datawatch has developed a software extension that allows QlikTech 
customers the ability to incorporate unstructured and semi-structured data 
into QlikView applications.  With the launch of the Datawatch Unstructured 
Data Connector for QlikView, QlikView customers will be able to model and 
include sources like PDF, XBRL, HTML, text files, machine data, and many other 
non-relational sources of data into their data discovery dashboards and 
applications.  Designed with the same user orientation as QlikView, this 
technology empowers business professionals to select the data they would like 
to include from these sources and easily incorporate that data into QlikView 
through a QVX file that includes both the data and metadata components.  Also, 
like QlikView, these applications can easily be migrated by IT professionals 
into production ready, large scale deployments, by using the complete 
Datawatch Information Optimization Platform. 
"We are excited about providing our customers the freedom and flexibility to 
use any source of data they need to analyze and understand their business," 
said Peter McQuade, Vice President of Alliances and Partner Sales at QlikTech. 
"By offering the Datawatch solution to our customers via QlikMarket, we are 
making it as simple as possible for them to get a leading solution for 
incorporating unstructured and semi-structured data into QlikView." 
"Datawatch and QlikView are a natural technology pairing," commented Ben 
Plummer, CMO and SVP of Strategic Alliances of Datawatch.  He continued by 
saying, "Over the last year we have seen a growing demand in our customer base 
to incorporate more data variety into applications like QlikView, and with the 
release of our QlikView connector we are able to make this process faster and 
easier for QlikView users." 
The Datawatch Unstructured Data Connector for QlikView is available 
immediately via QlikMarket.  Datawatch will market and sell the solution 
through direct sales and global channel partners.  Both companies will be 
supporting the alliance with joint marketing, sales, and services programs. To 
learn more about how Datawatch's Information Optimization technologies can 
extend the value of your business intelligence or data discovery application 
visit us at 
leader in providing information optimization products and solutions that allow 
organizations to deliver the greatest data variety possible into their big 
data and analytic applications. Datawatch provides organizations the ability 
to integrate structured, unstructured, and semi-structured sources like 
reports, PDF files, and EDI streams into these applications to provide a 360 
degree perspective of the issues and opportunities that exist in their 
businesses. More than 40,000 organizations worldwide use Datawatch's products 
and services, including 99 of the Fortune 100, and businesses of every type 
can benefit from the power and flexibility of Datawatch's industry leading 
solutions. Datawatch is headquartered in Chelmsford, Massachusetts with 
offices in London, Munich, Singapore, Sydney and Manila, and with partners and 
customers in more than 100 countries worldwide. For more information, 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, including but not limited to those relating to results of 
operations, contained herein 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: risks associated with the continuing weak global economy; risks 
associated with fluctuations in quarterly operating results due, among other 
factors, to the size and timing of large customer orders; the volatility of 
Datawatch's stock price; limitations on the effectiveness of internal 
controls; rapid technological change; Datawatch's dependence on the 
introduction of new products and possible delays in those introductions; 
competition in the software industry generally, and in the markets for 
information optimization in particular; Datawatch's dependence on its 
principal products, proprietary software technology and software licensed from 
third parties; risks associated with international sales; risks associated 
with indirect distribution channels; the adequacy of Datawatch's sales returns 
reserve; risks associated with a subscription sales model; risks associated 
with acquisitions, including the recent acquisition of intellectual property 
from Math Strategies; Datawatch's dependence on its ability to hire and retain 
skilled personnel; disruption or failure of Datawatch's technology systems 
that may result from a natural disaster, cyber-attack or other catastrophic 
event; and uncertainty and additional costs that may result from evolving 
regulation of corporate governance and public disclosure. 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, 2012 and 
Form 10-Q for the quarter ending December 31, 2012.   Any forward-looking 
statements should be considered in light of those factors. 
Investor Contact:  Datawatch Investor Relations 
Phone: (978) 441-2200 ext. 8323 
Media Contact:  Sarah Bernardi Datawatch Corporation Phone: (978) 441-2200 ext. 8387 Twitter: 
© 2013 Datawatch Corporation. Datawatch, Monarch and their respective logos 
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. 
SOURCE: Datawatch Corporation 
To view this news release in HTML formatting, please use the following URL: 
CO: Datawatch Corporation
ST: Massachusetts
-0- Mar/26/2013 12:55 GMT
Press spacebar to pause and continue. Press esc to stop.