CDMP-RMD Exam Dumps : Reference And Master Data Management Exam

A global identifier is used to link multiple references to the same entity across different systems or datasets. Here’s why:

Purpose of Global Identifier:

Unique Identification: Provides a unique identifier that can be used to recognize the same entity across disparate systems and datasets.

Consistency: Ensures that different references or records pointing to the same entity are consistently identified and managed.

Linking Equivalent References:

Equivalent References: Global identifiers link references that are equivalent, meaning they represent the same real-world entity even if the data is stored differently in various systems.

Entity Resolution: Helps in resolving different records to a single entity, ensuring data consistency and accuracy.

Example:

Customer Records: A customer might be listed in different systems (CRM, billing, support) with slightly different details. A global identifier links these records to recognize them as the same customer.

References:

Data Management Body of Knowledge (DMBOK), Chapter 7: Master Data Management

DAMA International, "The DAMA Guide to the Data Management Body of Knowledge (DMBOK)"

The Reference Data Change Request Process typically involves the following sub-processes:

Receive Change Request:

Initiation: The process begins with the receipt of a change request, formally logged and acknowledged.

Identify Stakeholder:

Stakeholder Identification: Identifying all relevant stakeholders who need to be involved or informed about the change.

Identify Impact:

Impact Analysis: Assessing the potential impact of the requested change on existing systems, processes, and data.

Decide and Communicate:

Decision Making: Reviewing the change request, making a decision, and communicating the outcome to stakeholders.

Excluded Step - Monitor Database Change: While monitoring database changes is important for overall data management, it is not typically part of the specific change request process for reference data. This step pertains more to ongoing operational monitoring rather than the change request workflow.

References:

Data Management Body of Knowledge (DMBOK), Chapter 6: Data Development & Maintenance

DAMA International, "The DAMA Guide to the Data Management Body of Knowledge (DMBOK)"

Master Data Management (MDM) Harmonization ensures that the data changes of one application are synchronized with all other applications that depend on that data.

MDM Harmonization Definition:This process involves aligning and reconciling data from different sources to ensure consistency and accuracy across the enterprise.

Synchronization:Ensuring that changes in one application are reflected across all dependent applications prevents data inconsistencies and maintains data integrity.

References:

DAMA-DMBOK: Data Management Body of Knowledge, 2nd Edition.

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