Use Case: Identify and Remedy Data Duplication Using TS Quality Projects - trillium_discovery - trillium_quality - Latest

Inline Quality and Discovery

Product type
Software
Portfolio
Verify
Product family
Trillium
Product
Trillium > Trillium Quality
Trillium > Trillium Discovery
Version
Latest
Language
English
Product name
Trillium Quality and Discovery
Title
Inline Quality and Discovery
Copyright
2024
First publish date
2008
Last updated
2024-10-18
Published on
2024-10-18T15:10:12.949492

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

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