Chelmsford, Mass.—November 10, 2014—Datawatch Corporation (NASDAQ-CM: DWCH), a leading global provider of visual data discovery solutions, announced today it was selected as the “2014 Best Big Data Technology Provider to the Buy-Side” by Waters Technology in its annual awards competition.
Announced Friday, November 7, 2014 at the May Fair Hotel in London, the awards recognize the leading technologies and vendors in their area of expertise, through an auditable and transparent methodology underpinned by the input and experience of seven judges – five buy-side-focused technology consultants and two Buy-Side Technology editors.
Buy-side institutions are typically large financial firms like private equity funds, mutual funds, life insurance companies, unit trusts, hedge funds, and pension funds. Datawatch clients on the buy- side include Blackrock, the world’s largest asset manager, Citadel, one of the largest hedge funds in the world, and J.P. Morgan. They use Datawatch visualization solutions to analyze real-time market activity and perform in depth analysis of historical trading and risk data.
The Datawatch visual data discovery platform retrieves data directly from sources commonly used in buy-side institutions, including real-time data feeds, in-memory databases, relational databases, CEP engines, message buses and spreadsheets. The architecture eliminates the need for a middle layer, including data warehouses, data marts and proprietary databases that add costs and latency.
“Datawatch’s real-time data capabilities provide buy–side users with the unique ability to visualize data as it happens, giving these users a distinct advantage in the market,” said Ben Plummer, chief marketing officer and senior vice president, Strategic Alliances for Datawatch. “It’s wonderful to have such a highly regarded organization like Waters recognize the value our technology brings to our customers,” he added.
Real-time visualizations provide traders and portfolio managers with clear, up-to-the-minute understanding of investment performance. Users can see how a portfolio is performing and responding to market changes. Managers see details for all portfolios in a single view and can drill down to see details about underlying instruments, or drill up to view aggregated data across different metrics. They can also analyze portfolio relative contributions, screen out constituents that do not merit attention and get complete details on the ones that do.
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 93 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 datawatch.imarc.io/free-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 Forms 10-Q for the quarters ended December 31, 2013, March 31, 2014 and June 30, 2014. Any forward-looking statements should be considered in light of those factors.
Investor Contact: Datawatch Investor Relations firstname.lastname@example.org
Phone: (978) 441-2200 ext. 8323
Sarah Bernardi Datawatch Corporation
Sarah_Bernardi@datawatch.com Phone: (978) 441-2200 ext. 8387
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