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DataMentors Releases Version 3.0 Of DMDataFuse.


Business Editors/High-Tech Writers

TAMPA, Fla.--(BUSINESS WIRE)--Aug. 5, 2003

DataMentors(R), Inc., the leading full-service data quality solutions company, today announced the release of DataFuse version 3.0. DataFuse is the industry-leading data quality and householding system first released in November 1999 and used today by many "blue chip" companies to cleanse, organize, standardize and household data. DataMentors' president Bob Orf said that enhancements in this version focus on continuing to lead the industry in technology and more complete integration. "The added functionality in version 3.0 will be a big differentiator in the marketplace. The ability to offer real-time processing Noun 1. real-time processing - data processing fast enough to keep up with an outside process
real-time operation

data processing - (computer science) a series of operations on data by a computer in order to retrieve or transform or classify information
, along with automated start and stop procedures will help organizations stay ahead of their competition while reducing operating costs operating costs nplgastos mpl operacionales ," said Orf.

Real-Time Processing:

Version 3.0 also supports DataMentors' latest product, DataFuse RealTime Manager. The user now has the ability to standardize and process one record at a time. The record is matched against the full database and, if a match is found, is linked to an existing individual/household and assigned an existing match key. The new module can also be used to create an MPP (Massively Parallel Processing or Massively Parallel Processor) A multiprocessing architecture that uses up to thousands of processors. Some might contend that a computer system with 64 or more CPUs is a massively parallel processor.  (multiple parallel processor) environment by submitting one record at a time simultaneously from parallel sessions. "This feature is an enormous benefit in a call center environment or for any direct point of contact by the customer," stated Orf.

New features in DataFuse 3.0 include:

Job Scheduling/Integration:

-- The Job Scheduler A job scheduler is an enterprise software application that is in charge of unattended background executions, commonly known for historical reasons as batch processing. They may also be known as Distributed Resource Management Systems (DRMS) or  now contains the ability to auto start See autostart.  a job

when a specific file is received. This allows processing to

take place, without any human intervention. It gives the user

an option for tighter integration without calling the DataFuse

API.

-- Another added automated function is remote job monitoring.

DataFuse notifies the user via email or pager for preset

conditions such as status or completion.

-- The user can now run any external program from within the

DataFuse program. There is no longer a need to exit DataFuse

to perform tasks such as unzipping a file or indexing an

Oracle database.

Reporting:

-- A CrossMatch Crossmatch
A laboratory test done to confirm that blood from a donor and blood from the recipient are compatible.

Mentioned in: Blood Typing and Crossmatching, Heart Transplantation

crossmatch 
 report is automatically generated. This report

shows matching across different data sources and/or multiple

product categories.

-- A data verification report displays detailed records, field by

field for any specified frequency. This is extremely helpful

in determining problems with data mapping Data mapping is the process of creating data element mappings between two distinct data models. Data mapping is used as a first step for a wide variety of data integration tasks including:
  • Data transformation or data mediation between a data source and a destination
 or data accuracy.

Other enhancements involve advanced matching capabilities. DataFuse now offers a more sophisticated way to match records that are missing portions of data, such as Apartment. Some records contain apartments, while other apartment numbers are left out for the same individual. DataFuse allows the user to use additional criteria to create an accurate match.

"There is so much added functionality, it's more than just a new version release," concluded Orf.

About DMDataFuse 3.0

DataFuse 3.0 is a fully modular relationship matching and linking system that cleanses, organizes, standardizes and households data, offering superior efficiency and unprecedented accuracy. Clients choose either on-site installation or service bureau processing. Operating methodologies include batch processing (1) Performing a particular operation automatically on a group of files all at once rather than manually opening, editing and saving one file at a time. For example, graphics software that converts a selection of images from one format to another would be a batch processing utility.  to reprocess re·proc·ess  
tr.v. re·proc·essed, re·proc·ess·ing, re·proc·ess·es
To cause to undergo special or additional processing before reuse.

Verb 1.
 records at periodic intervals; incremental processing to process new and changed records only; and real-time processing to update and insert records one at a time, integrating customer touchpoints. DataFuse is built on a multi-tiered framework specifically designed to provide advanced functionality, scalability, and ease of management and administration.

About DataMentors, Inc.

DataMentors is a full-service data quality solutions company, providing a comprehensive suite of completely customizable data validation In computer science, data validation is the process of ensuring that a program operates on clean, correct and useful data. It uses routines, often called validation rules, that check for correctness or meaningfulness of data that are input to the system. , transformation and database building products. The company offers a fully modular relationship matching and linking system that cleanses, organizes, standardizes and households data, offering superior efficiency and unprecedented accuracy. DataMentors also provides data profiling Data profiling is a process whereby one examines the data available in an existing database and collects statistics and information about that data. The purpose of these statistics may be to:
  1. find out whether existing data can easily be used for other purposes
 for non-name and address analysis. Rapid implementation increases customer profitability and ROI (Return On Investment) The monetary benefits derived from having spent money on developing or revising a system. In the IT world, there are more ways to compute ROI than Carter has liver pills (and for those of you who never heard of that expression, it means a lot).  while decreasing marketing costs. For more information, call 813-960-7800 or explore the possibilities at http://www.datamentors.com.

Data Solutions...Clean and Simple.
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No portion of this article can be reproduced without the express written permission from the copyright holder.
Copyright 2003, Gale Group. All rights reserved. Gale Group is a Thomson Corporation Company.

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Publication:Business Wire
Geographic Code:1USA
Date:Aug 5, 2003
Words:637
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