DataMentors Releases Version 2.40 of DMDataFuse.Business Editors/High-Tech Writers TAMPA, Fla.--(BUSINESS WIRE)--Feb. 20, 2003 DataMentors(R), Inc., the leading full-service data quality solutions company, today announced the release of DataFuse Version 2.40. DataFuse is the industry-leading data quality and householding system first released in November 1999 and used today by some of the leading financial institutions, brokerage and publishing companies to cleanse cleanse tr.v. cleansed, cleans·ing, cleans·es To free from dirt, defilement, or guilt; purge or clean. [Middle English clensen, from Old English , organize, standardize stan·dard·ize v. 1. To cause to conform to a standard. 2. To evaluate by comparing with a standard. and household data. DataMentors president Bob Orf said that enhancements in this version focused primarily on making the product even more user friendly, as well as more efficient by using automation to access additional information easily. "The bottom line is that users now can get more customized, complete and consistent information about their customers, faster and with less work on their part than ever before," said Orf. New features in DataFuse 2.40 include: -- Customer specific user defined tables. This allows the ability to override and add entries in the DataFuse Information Library with no worry that these entries may get overwritten by new releases. -- Totally automated match exception tables. Users can create a match exception table for any match field, enter values that should not be considered during matching, causing the system to automatically generate the correct scripts. -- The file viewer, used to view permanent or temporary files on screen, now allows searching and filtering with no limitation on file size. It also supports files that are non-standard to DataFuse and recognizes EBCDIC and packed fields. Orf said that other efficiency and consistency-driven enhancements include adopting a fixed font that makes run statistics easier to read; the ability for users to skip unnecessary steps during the run phase; automation of the incremental Additional or increased growth, bulk, quantity, number, or value; enlarged. Incremental cost is additional or increased cost of an item or service apart from its actual cost. database table setup, and inclusion of the name and address syntaxes on the standardization standardization In industry, the development and application of standards that make it possible to manufacture a large volume of interchangeable parts. Standardization may focus on engineering standards, such as properties of materials, fits and tolerances, and drafting report to improve exception handling. "DataFuse's matching capabilities remain unsurpassed," said Orf. "Our goal for this version is to make sure it is also among the easiest, most efficient and flexible data management products available." About DMDataFuse 2.40 DataFuse 2.40 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 soon to be released, 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 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. Users can create any level - household, super household, account corporation or individual - to explore data, define unlimited match rules without programming, and match and link data across any field. 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:
According to Philip Kotler,"a profitable customer is a person,household or a company that overtime,yields a revenue 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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