CHELMSFORD, Mass., June 30, 2014 /PRNewswire/ -- Did baseball's steroid era truly skew home run records? Is Ted Williams' on-base percentage still that impressive compared to today's batting stars? Why was 1981 the worst year in team run production since 1918?
Baseball and Big Data geeks alike can probe these and many more baseball stat questions thanks to a fun new interactive data visualization created by Datawatch Corporation (NASDAQ: DWCH) to kick off its new online Datawatch Community.
Datawatch, a leading global provider of visual data discovery solutions, created the baseball visualization to demonstrate the ease and powerful insights that can be derived by visualizing vast amounts of data of different types in a real-time interactive environment. The visualization lets users explore and compare a variety of interesting statistics – including team and player performance, pay and playoff records – of all major league baseball teams dating back to the 1871 season.
The visualization was built using Datawatch Desktop and hosted on Datawatch Server, deployed via Amazon Web Services. It demonstrates the power and flexibility of using less-than-structured data, in this case box scores from games sourced in PDF files, with user friendly visual design capabilities. This visualization is uniquely developed and deployed using Datawatch because of the nature and complexity of the data. This and other visualization examples available in the Datawatch Community are also unique to Datawatch, especially in the area of in-motion stream data sources.
Datawatch users who join the new Datawatch Community can find examples like the baseball visualization as well development resources, expert advice and a host of other benefits to help them build their own visualization solutions.
The Datawatch Community is a social network platform that can help customers and prospects experience the full value of Datawatch software. It is a user-driven community with a wealth of knowledge from customers eager to share their experiences and insights, according to Ben Plummer, chief marketing officer and senior vice president, Strategic Alliances. "They will find discussion forums, demos, videos, blogs, product documentation and white papers to help make their jobs easier and more productive. The Community is also an excellent first line of support for solving challenging visualization problems," he said.
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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SOURCE Datawatch Corporation