Master Data Management (MDM) lifecycle management encompasses the processes and practices

involved in managing master data throughout its lifecycle, from creation to retirement. It ensures

that master data remains accurate, consistent, and usable.

Reconciling and Consolidating Data:

This process involves merging data from multiple sources to create a single, unified view of each

master data entity.

It ensures that duplicate records are identified and consolidated, maintaining data consistency.

Identifying Multiple Instances of the Same Entity:

This involves detecting and resolving duplicate records to ensure that each master data entity is

uniquely represented.

Tools and algorithms are used to identify potential duplicates based on matching criteria.

Identifying Improperly Matched or Merged Instances of Data:

This step involves reviewing and correcting any errors that occurred during the matching or merging

process.

Ensures that data integrity is maintained and that merged records accurately represent the

underlying entities.

Maintaining Cross-Reference to Enable Information Integration:

Cross-

link related data entities across different systems, enabling seamless information

integration.

This ensures that data can be consistently accessed and used across the organization.

Establishing Recovery and Backup Rules (NOT part of MDM Lifecycle Management):

While important for overall data management, recovery and backup rules pertain more to data

protection and disaster recovery rather than the specific processes of MDM lifecycle management.

Reference:

DAMA-DMBOK (Data Management Body of Knowledge) Framework

CDMP (Certified Data Management Professional) Exam Study Materials