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Datawatch Corporation today announced a joint partnership with Convergence Consulting Group (CCG), a vendor-agnostic data and analytics consulting firm. Through this new partnership, CCG will empower its clients to achieve maximum ROI from their existing Business Intelligence (BI) and analytics investments by implementing Datawatch Monarch, Datawatch’s self-service data preparation (prep) solution. Monarch provides organizations with rapid data prep that speeds time-to-insight for enhanced decision making and improved operational processes.
Barriers to Mastering Advanced Analytics
BI used to be the sole responsibility of IT departments, but, over the past few years, the industry has seen a shift in power from IT to business users. Company executives can make unrealistic, time-sensitive requests for reporting, visualizations and analysis, and business users tasked with fulfilling these requests don’t have time to wait for IT to run a report or provide access to required data. As a result of this changing landscape, the self-service analytics movement is rapidly gaining momentum but it hasn’t come without its share of challenges.
Data that provides the best analytical value has traditionally been locked away in multi-structured or unstructured documents, such as text reports, web pages, PDFs, JSON and log files. The only way for the average business user to use this information has been to manually rekey and reconcile the data, which are time-intensive and error-prone processes. Additionally, in many instances, an organization’s source data is diverse, and rarely presents itself in a form that is accessible or in the format needed to perform analytics.
Consequently, business users are only relying on easily accessible data, such as relational, CSV and other standard, structured data, for analysis, and, even still, are spending the majority of their time preparing data rather than analyzing it.
Rapid Data Prep for Accelerated Analytics Success
Datawatch Monarch enables business users to overcome traditional data challenges by automating retrieval and prep processes. With Monarch, users can easily access, manipulate, enrich and combine disparate data from virtually any source. They can then quickly prepare it for analysis in visualization, analytics and cognitive tools, such as Tableau, IBM Watson Analytics and IBM Cognos Analytics, in a fraction of the time that it takes using spreadsheets and other manually-intensive measures.
Users spend less time preparing data and more time performing analysis that will result in timely, more informed business decisions and better operational processes. And, while Monarch provides the ease-of-use and agility that business users demand, it also satisfies IT’s need for security and compliance, providing governance capabilities such as data masking, data retention, data lineage and role-based permissions.
“Many organizations are still falling short when it comes to advanced analytics because they don’t have an effective self-service data prep solution in place,” said Anthony Ciancio, VP of Analytics, CCG. “Business users need answers a lot faster than IT can deliver, and they require rapid self-service data prep that speeds time-to-insight and meets executives’ expectations. With Datawatch Monarch, we’re able to satisfy the demands of business users by getting quality data into their hands very quickly, while enabling organizations to make the most out of their existing BI and analytics investments.”
Datawatch and CCG to Co-Host Live Webinar
Datawatch and CCG will co-host a live webinar titled “Rapid Data Prep for Accelerated Analytics Success” on Tuesday, Oct. 11, 2016 at 11 am. ET. The webinar will demonstrate how users can leverage tools such as Datawatch Monarch to drastically reduce data prep time by up to 80 percent, and provide best practices for unlocking a wide variety of hidden data, preparing it and speeding time-to-insight for faster, more informed decision making.
Datawatch and CCG (convergenceconsultinggroup.com) will also be exhibiting at IBM World of Watson, which will take place Oct. 24-27, 2016 in Las Vegas. Stop by the company booths (425 and 346, respectively) to get more information on their joint partnership or to learn how self-service data prep helps organizations master advanced analytics processes.
“The benefits of using self-service data prep in advanced analytics processes are endless, but many organizations still don’t know about or understand this technology,” said Jenn McAuliffe, VP, Global Strategic Alliances, Datawatch. “CCG will play an instrumental role in increasing awareness of self-service data prep by demonstrating to its hundreds of customers the value that Monarch provides. Using our technology, even novice business users can rapidly and easily transform data into actionable intelligence that delivers business value.”
About Datawatch Corporation
Datawatch Corporation (datawatch.com) 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.
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.
© 2016 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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