Datawatch and Quant5 Team to Bring Predictive Analytics to Real-time Visual Data Discovery
CHELMSFORD, Mass., June 17, 2014 /PRNewswire/ -- Datawatch Corporation (NASDAQ: DWCH), a leading provider of visual data discovery solutions, announced today it has teamed with Quant5 to add predictive analytics capabilities to Datawatch's real-time visual data discovery technology.
Quant5, a leading developer of marketing and sales analytics solutions, will become a Datawatch Technology Partner, integrating its predictive analytics software into the Datawatch Desktop platform. Datawatch Desktop integrates structured, unstructured, and semi-structured data sources into a rich visualization technology to glean business insights instantly.
Marrying real-time visual discovery with predictive analytics will enable customers to not only see what happened in their business, but predict what might happen in the future. They can now use many kinds of data to model the past, monitor the present, and optimize the future to answer critical business questions like:
- Which products should we offer, and at what price?
- How can we better predict sales by products and category?
- How is our customer base really segmented?
- Are there incremental sales opportunities in customer segments?
- Which customers are at risk of churn?
- How will customers use our products?
"Datawatch's visualization capabilities and approach to visual data discovery perfectly complement Quant5's predictive analytics," said Doug Levin, chief executive officer for Quant5. "Datawatch's enterprise-grade dashboards allows Quant5 to deliver high-impact, high-density visualizations as part of our predictive analytics solutions, enabling business users to quickly understand our predictive recommendations, optimizations and insights, and act on them with confidence."
This new kind of visualized predictive analytics solution is essential today because customers require both real-time visualization and predictive capabilities to express complex relationships and reveal hidden insights locked within all their data. The Datawatch-Quant5 solution can be deployed as a Software-as-a Service (SaaS) or in consulting projects to gather, organize and produce insights from huge amounts of data. Unlike other predictive analytics and BI software tools, the solution can be deployed quickly and cost effectively. Customers can typically get up and running in less than a day without having to involve teams of expensive data scientists.
"We are thrilled to be working with a world-class partner like Quant5," said Joe Pusztai, vice president of solutions for Datawatch. "Predictive analytics is quickly becoming an indispensable component of most Big Data projects, and Quant5's modular architecture and focus on delivering measurable business results greatly expands the breadth and depth of the types of solutions we can deliver."
Quant5, Inc., based in Cambridge, MA, provides easy-to-use predictive analytics and data visualizations either via Software as a Service (SaaS) or embedded systems to help businesses identify "actionable" customer insights, superior business opportunities, and undisputed ROI. Unlike legacy predictive analytics and business intelligence solutions, Quant5 can be deployed quickly, easily and cost affordably – companies can get up and running in less than a day without a team of data scientists and software engineers. Quant5's Data Assessment for Predictive Analytics module and business analytics suite – including Marketing Effectiveness module – and dashboards offer organizations previously unavailable insights that support business analytics, drive new sales and shorten the overall sales cycle. For more information about Quant5, view our website at www.quant5.com.
About Datawatch Corporation
Datawatch Corporation (NASDAQ-CM: DWCH) provides visual data discovery software that optimizes any data – regardless of its variety, volume, or velocity – delivering next generation analytics to reveal valuable insights for improving business. Its unique ability to integrate structured, unstructured, and semi-structured sources like reports, PDF files and EDI streams with real-time streaming data into visually rich analytic applications allows users to dynamically discover key factors that impact any operational aspect of their business. This ability to perform visual discovery against any data sets Datawatch apart in the big data and visualization markets. Organizations of every size, worldwide use Datawatch products, including 99 of the Fortune 100. Datawatch is headquartered in Chelmsford, Massachusetts with offices in New York, London, Munich, Stockholm, Singapore, Sydney and Manila, and with partners and customers in more than 100 countries worldwide. See the Whole Story for yourself by downloading the free trial at www.datawatch.com/trial.
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; risks associated with acquisitions, including the recent acquisition of intellectual property from Math Strategies and the acquisition of Panopticon; 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 next generation analytics in particular; Datawatch's dependence on its principal products, proprietary software technology and software licensed from third parties; risks associated with international sales and operations; risks associated with indirect distribution channels and co-marketing arrangements, many of which were only recently established; the adequacy of Datawatch's sales returns reserve; risks associated with a subscription sales model; 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, 2013 and Form 10-Q for the quarter ended December 31, 2013. Any forward-looking statements should be considered in light of those factors.
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