A master data management (MDM) system is installed so that the core data of an organization is secure, is accessible by multiple systems as and when required and does not have multiple copies floating in the system, in order to have a single source of truth. A solid Suspect Duplicate Process is required in order to achieve the 360 degree view of an entity.
The concept of Suspect Duplicate Processing represents the broad category of activities related to identifying entities that are likely duplicates of each other. Suspect duplicate processing is the process of searching for, matching, creating associations between and, when appropriate, merging data for existing duplicate party records in the system.
To achieve this functionality, Informatica MDM has come up with its own Suspect Duplicate Processing (SDP) approach. An organization based on its use case can opt any of the following two approaches:
- Deterministic Matching Approach
- Fuzzy Matching Approach
Deterministic Matching Approach
Deterministic Matching uses a series of rules, like nested if statements, to run a series of logical tests on the data sets. This is how we determine relationships, hierarchies, and households within a dataset. Deterministic matching seeks a clear “Yes” or “No” result on each and every attribute, based on which we define whether:
- Two records are duplicates
- should be resolved by a data steward or
- Two unique entities.
It doesn’t leave any room for error and provides the result in an ideal scenario. But most of the data in organizations is far from an ideal scenario. These are the cases when the Fuzzy Matching Approach of Informatica comes handy.
Learn more at http://www.infotrellis.com/informatica-mdm-fuzzy-matching/
