Datawatch Brings "Data Socialization" to Self-Service Analytics

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Next-Generation of Monarch Redefines Data Preparation with Advanced Collaboration and Governance, Enabling Better and Faster Analytics BEDFORD, Mass., Nov. 02, 2016 (GLOBE NEWSWIRE) --Datawatch Corporation(NASDAQ-CM:DWCH) today announced its ...

Next-Generation of Monarch Redefines Data Preparation with Advanced Collaboration and Governance, Enabling Better and Faster Analytics

BEDFORD, Mass., Nov. 02, 2016 (GLOBE NEWSWIRE) -- Datawatch Corporation (NASDAQ-CM:DWCH) today announced its strategic vision and product roadmap for making "data socialization" a reality for all business users of self-service data preparation. Currently in beta, the next addition to the Monarch family will include all of the self-service data preparation benefits for which the product is highly regarded, and, in a first, add key attributes common to social media platforms. This powerful combination will enable data scientists, business analysts and even novice business users across a company to search for, share and reuse prepared, managed data to achieve true enterprise collaboration and agility, resulting in better and faster business decisions.

Datawatch invented self-service data preparation. Its Monarch product has been used in more than 40,000 organizations to unlock all data, including "dark data" such as PDF reports, web pages, log files, and streaming and multi-structured data. Capitalizing on the largest installed base of data preparation users and unmatched expertise supporting the largest enterprise deployments, Datawatch is applying its unique experience and market position to now deliver a compelling data socialization roadmap starting this quarter.

Introducing Data Socialization 
Social media platforms have dramatically increased end user expectations about the availability and timeliness of information. Users increasingly have these same expectations for business information, regardless of where the data resides or how it's formatted. The roadmap for Datawatch Monarch will deliver data throughout the enterprise with many of these same attributes. Key features will include:

  • Cloud-Based Data Preparation - Deliver data preparation and access to everyone, everywhere.
  • Collaboration - Understand the relevancy of data in relation to how it's utilized by different user roles in the organization (e.g., sales operations or internal auditing); follow key users and data sets; and collaborate to better harness the "tribal knowledge" that too often goes unshared.   
  • Crowdsourcing - Leverage user ratings, comments and popularity to make better decisions about which data to use.
  • Information Marketplace - Browse a centralized catalog of all relevant internal and external data.
  • Intuitive Search - Search cataloged data, metadata and data preparation models indexed by user, type, application and unique data values to quickly find the right information.
  • Machine Learning - Benefit from machine learning capabilities, which identify patterns of use and success, perform data quality scoring, suggest relevant sources, and automatically recommend likely data preparation actions based on user persona.
  • Data Quality and Governance - Provide sanctioned, curated data sets to promote reuse and consistency. Comprehensive governance features, including data masking, data retention, data lineage and role-based permissions, are necessary to uphold corporate and regulatory compliance and enhance trust in data, analytics processes and results.

"This new, major release is specifically designed to meet the needs of three key constituencies: IT, analysts and information workers," said Jon Pilkington, chief product officer at Datawatch. "The IT team will benefit from required data governance and will be able to deliver more value to a wider variety of business users. Analysts will be more productive, with the ability to acquire and prepare data from any source, and they can now remove all of the redundant work across different silos. And information workers who use data daily to make business decisions, but often lack the technical skills to access and prepare data, will no longer be left out of the process. Our strategic roadmap for data socialization will make the next-generation of Monarch an essential part of the decision-making fabric for all analytical and operational processes." 

Product Availability 
The product is in beta release with early adopters. General availability is expected in December 2016.

For more information about Datawatch Monarch, please visit: http://www.datawatch.com/our-platform/monarch/.

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: www.datawatch.com.

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.

Source: Datawatch

Media Contact:
Amanda Beaupre
Marketing Communications Manager, Datawatch Corporation
amanda_beaupre@datawatch.com 
978-275-8387
Twitter: @datawatch




This announcement is distributed by Nasdaq Corporate Solutions on behalf of Nasdaq Corporate Solutions clients.
The issuer of this announcement warrants that they are solely responsible for the content, accuracy and originality of the information contained therein.
Source: Datawatch Corporation via Globenewswire

Source(s) : Datawatch Corporation

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