Leading Industry Analyst Firm Positions Netrics in Data Quality Tools Magic Quadrant 2008

Business Wire, June 6, 2008

Evaluation Based on Completeness of Vision and Ability to Execute

PRINCETON, N.J. -- Netrics, a technology innovator that makes imperfect data perfectly usable, today announced that it has been positioned in Gartner, Inc.'s June 2008 "Data Quality Tools Magic Quadrant,"1 report, authored by Ted Friedman and Andreas Bitterer. Gartner predicts that the data quality tools market will grow at a compound annual rate of 17 percent or more between 2006 and 2011.

The quality of corporate data is a recurring issue, with inaccuracies, variations and inconsistencies that create big problems for organizations in multiple industries. As a simple example, consider the problems that will arise if a patient's data appears more than once in a hospital's database, leaving those responsible for the patient's care unsure whether they are administering the correct treatment to the correct person.

"Organizations of all sizes and in all industries are recognizing the importance of high-quality data and the critical role of data quality in information governance and stewardship driven by broader enterprise information management initiatives," according to the report. "Data quality functionality is also being recognized as a fundamental component of offerings in many related software markets, such as data integration tools, master data management (MDM) solutions and business intelligence (BI) platforms."

The Netrics Matching Platform([TM]) approaches data quality from a unique perspective, using revolutionary mathematical modeling to automate the matching and linking of data despite its imperfections, giving organizations the ability to make critical decisions based on data - even data that is inherently imperfect. This is a departure from typical data quality solutions, which require heavy lifting and significant resources to fix and manage the data.

As an embeddable, real-time solution, the Netrics Matching Platform can be deployed on virtually every platform, operating system and database. This provides businesses with the flexibility and scalability to leverage best-of-breed matching technologies immediately and with a high degree of accuracy.

"Based on Gartner's evaluation, we believe it is obvious that data quality is top of mind for many organizations as they seek to utilize critical data as a strategic business driver instead of just a database," said Stefanos Damianakis, president and CEO, Netrics. "The beauty of Netrics is that we make corporate data more usable despite inconsistencies, avoiding the limitations of conventional data quality techniques. Using Netrics, companies can optimize existing technology, application and database investments quickly, easily and cost effectively."

The full Gartner Magic Quadrant for Data Quality Tools report can be purchased at http://www.gartner.com.

About the Magic Quadrant

The Magic Quadrant is copyrighted 2008 by Gartner, Inc. and is reused with permission. The Magic Quadrant is a graphical representation of a marketplace at and for a specific time period. It depicts Gartner's analysis of how certain vendors measure against criteria for that marketplace, as defined by Gartner. Gartner does not endorse any vendor, product or service depicted in the Magic Quadrant, and does not advise technology users to select only those vendors placed in the "Leaders" quadrant. The Magic Quadrant is intended solely as a research tool, and is not meant to be a specific guide to action. Gartner disclaims all warranties, express or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.

About Netrics

Netrics brings a totally new approach to making structured data - of any kind - usable despite its imperfections. The problem isn't with the data; it's the inability to accurately match data. Netrics matches imperfect data in real-time despite inconsistencies, incompleteness, variations and errors. Decision-makers at all levels of the organization, from front-line personnel to C-level executives, get information they can trust. As an embeddable technology, Netrics works with virtually any database, data source or application to quickly, easily and automatically turn data into a business asset. See http://www.netrics.com for more information.

1 Gartner, Inc., "Data Quality Tools Magic Quadrant," by T. Friedman and A. Bitterer, June 4, 2008