The Hackathon was designed to foster new ways to develop cloud-based IoT solutions using Informix as the database repository for sensor data. IBM provided a store of real-time sensor data that could be used to create applications ranging from municipal water usage monitoring to truck fleet maintenance to analyzing the flow of people and traffic in retail stores.
The winner was chosen based on having the most compelling idea for solving a real-world problem, along with providing the most complete solution.
The winning Datawatch entry included an innovative visualization dashboard for monitoring electrical smart meters in homes so that energy companies could be more efficient and effective in the delivery of power. It combined both historical electricity usage data with real-time household data, visualized through interactive, real-time maps for tracking electricity usage by counties, regions and days of the week. Energy companies could use the visualization to foresee trends and spikes in energy demand, diverting power on the electric grid to areas in need or bringing online auxiliary power plants to meet impending demand.
The winning team used the Datawatch's visual data discovery platform to build the Hackathon app. The technology enables all levels of business users to access, visualize and analyze data from any source – including structured, unstructured and streaming in-motion data — to make faster and more meaningful business decisions. Datawatch supports a wide range of visualizations including treemaps, heat maps, scatter plots, horizon graphs, and other visualizations for fast interpretation of static, time series, real-time streaming, and historic data sets.
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 www.datawatch.com/free-trial.
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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.
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IBM Insight 2014 Conference