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Collecting the data, getting it into the proper formats and making sure it is clean takes time. Add to the mix multiple data structures, governance issues and coordination with data stewards, and traditional data preparation can further delay actual data analysis jeopardizing timely decisions for business leaders.
On Thursday, November 19, 2015 at 11:00 am ET Datawatch Corporation’s CMO, Dan Potter will host a webinar to discuss how organizations can use self-service data preparation tools to more quickly prepare data for analysis. Titled “Accelerate your Analytics with Data Prep,” the webinar will feature speaker and Principal Analyst Michele Goetz of Forrester Research and will focus on:
• How to easily access multi-structured “dark data” content like reports, JSON, PDF, log files;
• How data preparation can speed up analytics;
• How analysts can become part of the governance process;
• How data prep creates a collaborative environment between analysts, stewards and data management pros;
• How data governance and data management pros have a window into data utilization.
“The amount of time and effort traditional data prep takes really stalls great insights. It doesn’t have to be that way,” said Potter. “With the right tools and processes in place, data analysts should be able to cut their time in half…freeing them up to focus on the actual analysis of the data and helping to guide their organizations to better, faster business decisions.”
To register for the webinar, please visit the website.
About Datawatch Corporation
Datawatch Corporation (datawatch.com) provides the only Managed Analytics Platform that brings together self-service data preparation with visual data discovery. Its software bridges the gap between the ease that business user’s demand and the automation and governance needed by IT. Users can quickly discover key factors that improve their business by transforming data from multi-structured sources, as well as real-time streaming data, into visually rich analytic applications. 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, Frankfurt, Stockholm, Singapore, Melbourne 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 contained herein, including but not limited to those relating to product performance and viability, 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: rapid technological change; Datawatch’s dependence on the introduction of new products and product enhancements and possible delays in those introductions; acceptance of new products by the market, competition in the software industry generally, and in the markets for next generation analytics in particular; and Datawatch’s dependence on its principal products, proprietary software technology and software licensed from third parties. 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, 2014 and Forms 10-Q for the quarters ending December 31, 2014, March 31, 2015 and June 30, 2015. Any forward-looking statements should be considered in light of those factors.
Investor Contact: E: investor[.]datawatch.com - P: 978-441-2200 x8323
© 2015 Datawatch Corporation. Datawatch and the Datawatch logo 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.
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