New Ovum report says Datawatch Monarch solves urgent data preparation problems for all kinds of self-service analytics

Chelmsford, MA – August 31, 2015 – Companies who need to blend complex datasets from extremely diverse data sources for self-service analytics would be wise to use Datawatch Monarch. That is one of several key findings from a recently published evaluation of the technology by global IT research and analyst firm, Ovum.

Ovum’s new SWOT Assessment: Datawatch Monarch, Version 13 report digs deep under the hood of Datawatch Corporation’s (NASDAQ-CM: DWCH) flagship software to objectively assess its strengths, weaknesses, opportunities and threats (SWOT) in the fast-growing market for desktop-based self-service analytics tools.

“Compared to many vendors that are barely past their start-up roots in the self-service analytics world, Datawatch is a 20 year old data management veteran. The vendor has successfully catered to complex data management challenges at very large clients and its software has been battle-tested in regulated verticals such as financial services and healthcare.” – OVUM

“Datawatch Monarch is the only solution that can automatically extract data trapped in reports, files, web pages and other multi-structured content not accessible to analytics tools,” said Dan Potter, chief marketing officer for Datawatch.  “You can quickly prepare and blend this multi-structured data together with data from other sources including Big Data, and traditional relational sources. It enables users to create rich, interactive data-driven solutions to complex business problems at a fraction of the cost and time of a traditional BI project.”

Because handling data from diverse sources is one of the biggest problems impeding analytics, Ovum’s Senior Analyst, Surya Mukherjee, finds that “Datawatch Monarch addresses a significant concern that we see plaguing self-service analytics vendors – of blending, viewing, and wrangling complex datasets that generate from three or more data sources, none of which have the same

schema, update schedules, or even security levels. The product differentiates on the wide variety of sources it can work with (even website scrapes and pdf documents) and on the granular security levels it can provide – battle-tested by years of experience of working with financial data. We believe that with the right technology and system integration partnerships, Datawatch Monarch is ready for accelerated growth.”

The report cites four core strengths of the software in particular that make it ideal for visual analytics, dash-boarding and reporting while working within established governance and mandates around managing data:

  • Its ability to provide a full range of integration methods and connectors, differentiating on file systems connections and scraping capabilities
  • Its suitability for complex data blending jobs involving multiple disparate sources
  • A graphical and easy-to-use interface, even for a new user
  • And strong data security and governance capabilities.

“We are pleased that Ovum’s assessment acknowledges the core differentiation for Datawatch which addresses the most significant concerns in the rapidly growing self-service analysis market,” said Potter. “Our ability to handle both the complex data with the same ease as other traditional data is unique and our customers are fully realizing the agility of self-service analytics.”

Ovum’s SWOT reports are an independent assessment of a specific solution or service, examining features and capabilities, SWOT analysis, enterprise deployment considerations, and vendor’s product strategy.

Compared to many vendors that are barely past their start-up roots in the self-service analytics world, Datawatch is a 20 year old data management veteran. The vendor has successfully catered to complex data management challenges at very large clients and its software has been battle-tested in regulated verticals such as financial services and healthcare.

About Ovum
Ovum is a leading global technology research and advisory firm. Through its 180 analysts worldwide it offers expert analysis and strategic insight across the IT, telecoms, and media industries. Founded in 1985, Ovum has one of the most experienced analyst teams in the industry and is a respected source of guidance for technology business leaders, CIOs, vendors, service providers, and regulators looking for comprehensive, accurate, and insightful market data, research, and consulting. With 23 offices across six continents, Ovum offers a truly global perspective on technology and media markets and provides thousands of clients with insight including workflow tools, forecasts, surveys, market assessments, technology audits, and opinion. In 2012, Ovum was jointly named Global Analyst Firm of the Year by the IIAR.

Ovum is a division of Informa plc, one of the leading business and academic publishing and event organisers globally, headquartered in London. Informa is quoted on the London Stock Exchange.
About Datawatch Corporation
Datawatch Corporation (NASDAQ-CM: DWCH) 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.  Learn more at 

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.


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