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Netrics Achieves Profitability and Reports 176% Revenue Growth.


PRINCETON, N.J. -- Patented Record Matching Technology Delivers Unparalleled Accuracy and Reliability; Reduces Costs and Delivers More Value from Enterprise Data

Netrics, specializing in intelligently matching and retrieving database records, achieved profitability and reported 176% revenue growth in each of the first two quarters of 2004, as compared to the same two quarters a year ago.

"In 2004, we achieved tremendous growth and firmly positioned ourselves as the leader in inexact in·ex·act  
adj.
1. Not strictly accurate or precise; not exact: an inexact quotation; an inexact description of what had taken place.

2.
 record matching, which means that our solutions work even when the data is incomplete and rife rife  
adj. rif·er, rif·est
1. In widespread existence, practice, or use; increasingly prevalent.

2. Abundant or numerous.
 with errors," stated Stefanos Damianakis, president and CEO (1) (Chief Executive Officer) The highest individual in command of an organization. Typically the president of the company, the CEO reports to the Chairman of the Board. , Netrics. "Our patented Intelligent Record Matching(TM) technology delivers unparalleled accuracy and reliability in handling database records that contain a wide range of errors. Our financial progress is the result of significant inroads inroads
Noun, pl

make inroads into to start affecting or reducing: my gambling has made great inroads into my savings

inroads npl to make inroads into [+
 that we've made in the healthcare, government and e-commerce markets."

"The pervasive nature of data takes a considerable financial and operational toll on companies," continued Damianakis. "Managing and making the best use of rapidly growing corporate databases has become a more challenging and critical task. Since data is constantly changing in ways that are constantly changing, we developed our technology to adapt and automatically deal with these changes. That's what allows us to deliver bottom line value to our clients and maintain our leadership position in the market."

Netrics' products and data analysis services offer the best way to solve very difficult problems that arise from making effective use of the data stored in databases. Forward-looking industry leaders such as Cerner (Nasdaq: CERN CERN or European Organization for Nuclear Research, nuclear and particle physics research center straddling the French-Swiss border W of Geneva, Switzerland. ), Just Associates, Los Alamos National Laboratory Los Alamos National Laboratory (LANL) (previously known at various times as Site Y, Los Alamos Laboratory, and Los Alamos Scientific Laboratory) is a United States Department of Energy (DOE) national laboratory, managed and operated by Los Alamos National  and Multimedia Live have adopted Netrics' revolutionary technologies and are increasing efficiency, reducing costs and delivering more value from enterprise data. The technologies are applied in data-driven situations, and allow the user to overcome the inherent inflexibilities of database-driven computer systems. The applications include retrieving patient records, detecting duplicate DUPLICATE. The double of anything.
     2. It is usually applied to agreements, letters, receipts, and the like, when two originals are made of either of them. Each copy has the same effect.
 patient records, finding similar records across disparate databases and locating the right product in online product catalogs.

Netrics Advances Record Matching Technology

Earlier generations of record matching technology were able to determine equality or inequality inequality, in mathematics, statement that a mathematical expression is less than or greater than some other expression; an inequality is not as specific as an equation, but it does contain information about the expressions involved.  in a relatively easy fashion. The difficulty was determining similarity Similarity is some degree of symmetry in either analogy and resemblance between two or more concepts or objects. The notion of similarity rests either on exact or approximate repetitions of patterns in the compared items. , because these first-generation solutions did not tolerate a wide range of data errors. Thus, these limited and ad hoc For this purpose. Meaning "to this" in Latin, it refers to dealing with special situations as they occur rather than functions that are repeated on a regular basis. See ad hoc query and ad hoc mode.  solutions produced inferior record matching results.

"Netrics mathematically models a human notion of 'similar'," explained Damianakis. "This captures a truer, richer notion of similarity than traditional methods. Netrics' patented machine learning software automatically discovers rules and patterns. The software also processes more fields, which vastly improves the accuracy of its results. Ultimately, since Netrics learns directly from domain experts, the algorithm learns what the human is doing and can even identify errors that the 'expert' makes."

About Netrics

Netrics specializes in intelligently matching and retrieving database records. The company's Intelligent Record Matching(TM) technology solves the inevitable problems caused by the pervasive nature of data. Netrics' products and services enable companies to manage rapidly growing data repositories See repository. , increase efficiency, reduce costs and deliver more value from enterprise data. Netrics' software, based upon patented matching algorithms, leapfrogs earlier record matching solutions and delivers unparalleled accuracy and reliability in handling data that contains a wide range of errors, particularly for applications that involve searching databases, matching records and eliminating duplicate records.

The company is headquartered in Princeton, NJ. For additional information about Netrics and its products and services, visit www.netrics.com or email info@netrics.com.
COPYRIGHT 2004 Business Wire
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Copyright 2004, Gale Group. All rights reserved. Gale Group is a Thomson Corporation Company.

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Publication:Business Wire
Date:Aug 16, 2004
Words:565
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