# Simple VSR algorithm

This scenario applies only to Talend Data Management Platform, Talend Big Data Platform, Talend Real Time Big Data Platform, Talend Data Services Platform, Talend MDM Platform and Talend Data Fabric.

This scenario describes a basic Job that compares columns in the input file using the Jaro-Winkler matching method on the *lname* and *fname* column and the q-grams matching method on the *address1* column. It then groups the output records in output flows:

* Uniques: lists the records which group size (minimal distance computed in the record) is equal to *1*.

* Matches: lists the records which group score (minimal distance computed in the record) is greater than or equal to the threshold you define in the Confident match threshold field.

* Suspects: lists the records which group score (minimal distance computed in the record) is less than the threshold you define in the Confident match threshold field.

![](https://help.qlik.com/talend/en-US/components/7.3/Resources/images/use_case_tmatchgroup.png)

### In this section

* [Setting up the Job](https://help.qlik.com/talend/en-US/components/7.3/data-matching/simple-vsr-algorithm-setting-up-job)
* [Configuring the input component](https://help.qlik.com/talend/en-US/components/7.3/data-matching/simple-vsr-algorithm-configuring-input-component)
* [Configuring the tMatchGroup component](https://help.qlik.com/talend/en-US/components/7.3/data-matching/simple-vsr-algorithm-configuring-tmatchgroup)
* [Finalizing the Job and executing it](https://help.qlik.com/talend/en-US/components/7.3/data-matching/simple-vsr-algorithm-finalizing-job-and-executing-it)