LinkageWiz - Data matching, deduplication & data cleansing

  LinkageWiz Data Matching Software

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Features

LinkageWiz uses Probabilistic Data Matching Algorithms for the linkage of records across multiple data sources and for the identification of duplicate records. Probabilistic methods are much more powerful and detect a much higher number of matches than other commonly used algorithms (such as fuzzy matching).

 

Want to learn more? Request a free copy of our Data Matching Whitepaper:

  Email:

 

  Name:

 

Overview

  • Uses powerful Probabilistic Data Matching Algorithms

  • User friendly and cost effective

  • Standalone (does not require the use of another application such as SAS or MS Access);

  • High performance

  • Links records from separate data sources or identifies duplicate records within a single data source

  • Link from 2,000 to 4 million records (other commercial software often has lower record limits)

  • Allows the creation of a Unique Identification Number for Individuals or Businesses

Algorithms

  • Probabilistic & Deterministic data matching algorithms;

  • NYSIIS and SOUNDEX phonetic algorithms;

  • Advanced String Comparator functions (ensures that special phonetic matches such as Joan/Jean or Marie/Mary etc are not matched);

  • Automatic Nick Name Translation;

  • User Definable Linkage Variables and Linkage Weights;

  • Optionally use Diagnosis fields as linkage fields (cancer registries);

  • Value Specific Linkage Weights - i.e. the family name 'Smith' receives a lower weight than 'Felligi';

Data Sources

  • Import data from a wide range of formats; Text Files, DBASE, FoxPro, MS Excel and MS Access;

  • Import multiple files

  • Import data from SQL Server, Oracle and other enterprise databases*

  • UNIX text file conversion*

  • Export data to Access, Text File, Excel and DBASE formats

Analysis

  • Clerical Review facility for reviewing potential matches

  • Matched Pairs Analyzer for reviewing pairs of matched records

  • Data Quality Analyzer for the identification and analysis of data quality problems prior to data matching.

Data Cleansing & Standardization

Clean and correct data quality issues including:

  • Address Standardization (English and French)

  • Advanced Data Filtering

  • Alpha and Numeric Corrections (e.g. Convert 0’s and 1’s to O’s and I’s)

  • Business Name Standardization (English & French)

  • Case Conversion (Upper, Lower, Proper)

  • City & State Standardization

  • Conversion of Accented Characters (European languages)

  • Custom Field Recoding

  • Derivation of Sex from name field (30,000+ names in library)

  • Email Address Correction

  • Field Truncation

  • Field Concatenation

  • Geocoding

  • NYSIIS & SOUNDEX functions

  • Removal of Spaces and Unwanted punctuation

  • Splitting of Full Name into subcomponents

 

Download a free trial of LinkageWIz today.

 

* Feature only available in Enterprise Edition.

A French language version is now available. Please email us for more details. Other languages will be considered upon request.