Data Matching Technology

Topics:
Analysis,
Business Intelligence,
Business Process Management,
Decision making,
Modeling
Tags:
Computer,
Data-processing,
Netrics,
Productivity,
Requirement
Source:
Netrics

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Overview: Accurate data matching is a fundamental requirement for many data processing applications. It's an obvious requirement for data cleansing: recognizing whether two or more records represent the same person, product, company, or other data entity is an essential step to eliminating duplicates. It's also a key requirement for data integration: i.e. recognizing if records in two or more different databases are describing the same entity; as well as in master data management, i.e., linking new transactions to master records.

Netrics' Decision Engine uses an exclusive system that models human decision-making. It "learns" by automatically tracking the patterns of example decisions provided by your own business experts, and creates a computer model that accurately predicts them. Once "trained", the Decision Engine's model reliably makes the same decisions as your own experts, but at computer speeds, and without ever losing concentration.

(Is this item miscategorized? Does it need more tags? Let us know.)

Format: PDF | Date: Aug 2006 | Pages: 9


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