Datawatch Corporation, the leading global provider of information optimization software and services, today announced the availability of Datawatch’s Unstructured Data Connector for QlikView on QlikMarket (market.qlikview.com). 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.
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 online.
About Datawatch Corporation
Datawatch Corporation (datawatch.com) is a 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.
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 publiclyavailable 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.
© 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.