Datawatch's Monarch 11 Delivers an Unparalleled Self-Service Report Analytics and Report Mining Experience

CHELMSFORD, Mass., July 12, 2011 /PRNewswire/ -- Datawatch Corporation (NASDAQ-CM: DWCH), the leading global provider of report analytics products and services, today announced the commercial availability of Monarch 11, the only solution that provides business users with a self-service environment to create dynamic, enterprise-wide analytical solutions from existing static reports and business documents.  Individuals and organizations who want to leverage Monarch 11 for report analytics and report mining can get a free trial download version at: http://www.datawatch.com/monarch_free_download

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Monarch 11 delivers enhancements in three key areas: user experience, data modeling and scalability.  Monarch 11 users will recognize the Microsoft Office-style experience with familiar capabilities like contextual ribbon bars and intuitive navigation paths, which will greatly improve their user experience.  These enhancements, combined with a more robust modeling engine, will make it easier and faster for organizations to map existing standard ERP reports, text files, HTML files, PDFs and semi-structured content into high performance report analytic solutions.  Monarch 11 also provides improved scalability for enterprise applications, with increased capacity to work with up to 75 percent more data and native 64-bit support.  These key enhancements now set a new standard for report analytics and data mining applications.

"Ventana Research found in its benchmark research that only 11 percent of organizations are very satisfied with their efforts to get data from multiple sources and in multiple formats," said Mark Smith, CEO and Chief Research Officer, Ventana Research.  "The paradigm of accessing and utilizing data from existing reports and business documents for getting insight can help organizations make effective decisions and take decisive action - which is what Datawatch offers with Monarch 11."

"Datawatch's extraordinary presence in the market is a testament to Monarch's self-service capabilities and its appeal to business users," said Michael Morrison, president and CEO, Datawatch.  "With the release of Monarch 11, Datawatch extends the already impressive report analytics capabilities with increased performance and usability to our more than 40,000 customers worldwide.  This release represents a significant step forward in the report analytics market."

Monarch is widely used by large global enterprises, including Wells Fargo, United Health Group, HSBC, McKesson, Microsoft, UPS and Lowe's, to empower business users to extract intelligence from the data trapped in the inflexible, isolated reports generated by various enterprise applications and third party systems.  Datawatch's unique approach to solving longstanding reporting problems – extracting valuable intelligence from multiple reports and report formats instead of from relational data stores – provides business users with immediate demonstrable results at a fraction of the cost and time of traditional business intelligence approaches.

The Monarch Report Analytics Platform

Monarch 11 is the modeling engine that powers the Monarch Report Analytics platform, a platform that takes report mining to a new level: it is a complete enterprise solution that transforms static, isolated data from existing reports into a dynamic framework for self-service analysis and visualization.  The Monarch Report Analytics platform automates the processes that enable users to easily access, extract and incorporate data from any combination of existing reports already published inside or outside the enterprise, then create, publish and distribute the resulting dynamic, interactive reports throughout the enterprise – without requiring the time, expense or expertise of valuable IT resources.  The Monarch Report Analytics platform also includes:

• Monarch Data Pump for automating repetitive processes for acquiring, validating, integrating, scheduling and distributing report data;
• Monarch Enterprise Server for Web-based distribution of dynamic reports throughout the enterprise, including capabilities to archive these reports for proper information governance to satisfy the needs of internal auditors and regulatory bodies;
• Monarch Report Mining Server for data mining and analytics on documents stored in enterprise content management systems such as IBM's Content Manager OnDemand, ASG Mobius ViewDirect and others; and
• Datawatch Report Manager on Demand for high-volume print output, document and report capture, archiving and management.

Availability

Monarch 11 is commercially available today and can be viewed in action at http://www.datawatch.com/demo.   Monarch 11 is also available for free trial download at http://www.datawatch.com/monarch_free_download.

About Datawatch Corporation

Datawatch Corporation (NASDAQ-CM: DWCH) empowers organizations to transform the massive amounts of valuable information that is trapped in static reports, PDF files, HTML and other content-rich, but difficult-to-use data sources, into a dynamic information analytics system that accelerates and improves decision-making throughout their operations. Datawatch's technology allows its more than 40,000 customers worldwide to leverage the investments they have made in reports from ERP, CRM and other custom applications into high performance analytic information at a fraction of the cost and time of traditional approaches. Datawatch is headquartered in Chelmsford, Massachusetts with offices in London, Munich, Sydney and Manila, with partners and customers in more than 100 countries worldwide. For more information, visit www.datawatch.com.

Media Contacts
Kelley Lynn Kassa
Datawatch Corp.
978-275-8240
[email protected]
@datawatch

© 2011 Datawatch Corporation. Datawatch, Monarch and their respective logos 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 Corporation