LinkageWiz Data Matching Software

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Data Cleansing & List  Management

LinkageWiz is a powerful Data Cleansing & List Management tool used by businesses, government agencies,
universities and other organizations in the USA, Canada, United Kingdom, Australia and France.

Key features:

Import & Export Capabilities

Data Quality Analysis and Correction

Data Cleansing & Standardization

Identification of Duplicate Records

Address Cleansing & Geocoding

Email Cleansing

Data Transformation

 

1. Import data from a wide range of databases:

  • Text Files, DBASE, FoxPro, MS Excel and MS Access

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

  • UNIX text file conversion*

  • Import and clean up to to 250 files per project

  • Clean up to 4-5 million records per file*

  • Export data to Access, Text File and Excel


2. Data Quality Analysis & Correction

  • Identify common data quality problems using the LinkageWiz Field Analyzer and Table View screen:

       

  • Interactive search and replace function

       


3. Clean and Standardize your data

  • Alpha and Numeric Corrections - Changes 0’s to O’s and 1’s to I’s. This is useful for correcting numbers
    that have been inadvertently been entered in name fields, for example:
       
    R0bert® Robert

  • Business Name Standardization - standardizes business names, removing organizational noise. For example:
    Acme Motors International Pty Ltd ® ACME MOTORS

LinkageWiz also contains a large library of business name noise data which you can customize to suit your own
address cleaning requirements:

  • Case Conversion
      
       Upper Case -
     converts the field to uppercase eg Smith ® SMITH
      
       Lower Case -
     converts the field to lowercase eg Smith ® smith
      
       Proper Case -
    converts the field to proper case eg MACDONALD ® McDonald
     

  • City & State Standardization - standardizes city & state names to standard abbreviations

  • Conversion of Accented Characters

    Upper Case (Remove Accents)
     - converts to uppercase and removes accented characters
       
    e.g.
    Béatrice ® BEATRICE

    Lower Case (Remove Accents) - converts to lowercase and removes accented characters
       
    e.g.
    Béatrice ® beatrice

  • Digits Only function - Only permits numeric digits

  • First & Last Word functions - creates a new field based on the first or last word of another field

  • NYSIIS & SOUNDEX functions - creates a new field based on the NYSIIS or SOUNDEX codes of another field.

  • Removal of Spaces and Unwanted punctuation
      
       Remove Embedded Spaces
    - e.g.
    618 123456 ® 618123456

      
       Remove Invalid Punctuation
    -
    Only the characters A-Z, digits, space, single quotation mark or hyphen are permitted


4. Identification of Duplicate Records

LinkageWiz uses powerful probabilistic data matching algorithms to identify duplicate records, utilizing common
identifiers such as name, date of birth, sex, Social Security Card Number and others. You can export the duplicate
records or the records that do not have any duplicates.

Example duplicate records identified:
 

Client No

First Name

Family Name

Date of Birth

10000001

Andrew

Smith

1/1/1950

20000003

Andry

Smith

1/1/1951

20000004

Andre

Smythe

2/1/1951

 


5. Email Cleansing

Cleans and corrects email addresses. Separates email addresses into separate sub-component values for account, domain,
sub-domain & country.

   

6. Transform your Data

  • Recode

Recoding allows for the replacement of specified field values with new values. Custom recoding schemes can be developed
and saved for future use. For example, a recoding template could be developed to standardize school names:
 

SCH ® SCHOOL

H.S. ® HIGH SCHOOL

H S ® HIGH SCHOOL

ACAD ® ACADEMY

  • Concatenate

Allows two fields to be joined together to create a new field.

  • Truncate

This function allows for the truncation of the contents of an existing field. The results may be saved into the same field or
optionally into a new field (recommended). Contents may be truncated a specified number of characters from either the left:

E.g. SMITH → SMI ;

or from the right:

E.g. SMITH → ITH

 

  • Splitting of Full Name into subcomponents

Splits a full name into given name and family name components, for example:

Williamson John à John Williamson

  • Derivation of Sex

Adds missing sex information to a list by deriving sex for the first name field (based on algorithms and a library of greater
than 30,000 first names).

  • Merge Data Tables

Merges two tables using common key(s)

       


Try LinkageWiz today and explore it's powerful data cleaning capabilities for yourself:

 

Download a free trial of LinkageWiz.

 

 

Click here to go to the LinkageWiz Home Page.

 

* Feature only available in Enterprise Edition.