Monarch 13.3 reconciles market-leading functionality with simplicity, empowering ordinary business users to prep less and analyze more
BEDFORD, Mass. – April 26, 2016 – Datawatch Corporation (NASDAQ-CM: DWCH) today announced the immediate availability of Datawatch Monarch 13.3, the latest edition of the company’s first-to-market self-service data prep solution. Datawatch Monarch enables business users to acquire, manipulate and blend data from virtually any source. The new product release delivers better and faster data access and data prep through advanced functionality, unrivaled simplicity and enhanced information governance.
A recent study from Blue Hill Research found that the typical data analyst spends, on average, two hours a day on data prep activities, which equates to roughly $22,000 per year, per analyst. Datawatch Monarch enables both data analysts and novice business users to drastically reduce their data prep time by quickly and easily acquiring and preparing data locked away in previously inaccessible multi-structured, semi-structured and unstructured sources, such as text reports, web pages, PDFs, JSON and log files. With the ability to retrieve and use not only the right data, but all of the data required to get the whole story, Monarch users can focus on performing analysis that will result in timely, more informed business decisions and better operational processes.
“The increasing scales and variety of data that organizations are encountering have compounded to make data prep activities a substantial part of the data analyst workflow,” said James Haight, principal analyst at Blue Hill Research. “Our research shows that this presents a significant financial burden on organizations as they divert valuable human capital into data prep and away from value-added analysis on their data.”
Key new features of Monarch 13.3 include:
- Fuzzy Matching – Fuzzy join logic matches non-identical, but similar, values and inconsistent data across sources.
- Load Plan Visualization – Visual representation of load plan operations and data lineage to boost information governance and compliance.
- Smart Append Operations – Easy-to-use wizard allows the consolidating of data from similar sources.
- Advanced Calculations – A robust set of advanced calculations, including if-then-else logic, optimized calculations for data cleansing and built-in fiscal period logic, underscored by point-and-click simplicity.
- Prep Filters – Comprehensive filtering reduces large data sets to required subsets for ease-of-use.
Monarch 13.3 also includes a new Angoss Software export, improved JSON/XML connectivity, custom report format options and localization support to personalize data sets from multiple geographies.
“For the past 20 years, thousands of customers have relied on Datawatch to prep less and analyze more, saving not only valuable analyst time but company dollars as well,” said Jon Pilkington, chief product officer at Datawatch. “We are the only data prep provider empowering ordinary business users to turn data into intelligence for analytic and operational processes. Monarch 13.3 continues this legacy with new features designed to make self-service data prep even easier, so users can effortlessly deliver business value.”
About Datawatch Corporation
Datawatch Corporation (NASDAQ-CM: DWCH) enables ordinary users to achieve extraordinary results with their data. Only Datawatch can unlock data from the widest variety of sources and prepare it for use in visualization and analytics tools, or for other business processes. When real-time visibility into rapidly changing data is critical, Datawatch also enables users to analyze streaming data, even in the most demanding environments, such as capital markets. Organizations of all sizes in more than 100 countries worldwide use Datawatch products, including 93 of the Fortune 100. The company is headquartered in Bedford, Massachusetts, with offices in New York, London, Frankfurt, Stockholm, Singapore and Manila. To learn more about Datawatch or download a free version of its enterprise software, please visit: datawatch.imarc.io.
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, 2015. Any forward-looking statements should be considered in light of those factors.
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Marketing Communications Manager, Datawatch Corporation
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