Use Case: Identify and Remedy Data Duplication Using TS Quality Projects - 17.1

Scenario

You ran a set of entity business rules and identified inconsistent or missing names and address information in an entity.

Solution

Create a TS Quality name and address matching projects to clean data.

A TS Quality project consists of various processes. Of these, the ones that are particularly useful in identifying and resolving data duplication are Customer Data Parser and Relationship Linker processes. Also, if you are missing postal address data, you can find and enrich the data using Postal Matcher process.

Step 1: Create a name and address project

Step 2: Enrich your data using Postal Matcher process