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Is there a standard tor defining and exchanging Master Data?
ISO 22745 is an international standard for defining and exchanging master data.
ISO 22745:
This standard specifies the requirements for the exchange of master data, particularly in industrial and manufacturing contexts.
It includes guidelines for the structured exchange of information, ensuring that data can be shared and understood across different systems and organizations.
Standards for Master Data:
Standards like ISO 22745 help ensure consistency, interoperability, and data quality across different platforms and entities.
They provide a common framework for defining and exchanging master data, facilitating smoother data integration and management processes.
Other Options:
ETL: Refers to the process of Extract, Transform, Load, used in data integration but not a standard for defining master data.
Corporation-specific Methods: Many organizations may have their own methods, but standardized frameworks like ISO 22745 provide a common foundation.
No Standards: While not all organizations use master data, standards do exist for those that do.
ISO 22745 Documentation
DAMA-DMBOK (Data Management Body of Knowledge) Framework
CDMP (Certified Data Management Professional) Exam Study Materials
The Reference Data Change Request Process does NOT include which of the following sub processes:
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.
Data Management Body of Knowledge (DMBOK), Chapter 6: Data Development & Maintenance
DAMA International, 'The DAMA Guide to the Data Management Body of Knowledge (DMBOK)'
What is a Canonical Data Model?
A Canonical Data Model (CDM) is a design pattern used in data integration and exchange to create a standardized format for data that will be shared across different systems.
Canonical Data Model Definition:
A CDM provides a common, consistent, and agreed-upon representation of data across different systems within an organization.
It serves as an intermediary format to simplify data exchange and integration.
Standardization:
The primary purpose of a CDM is to standardize the format of data. This ensures that data from different sources can be integrated, understood, and used without needing extensive transformation or reformatting.
It addresses the problem of data heterogeneity, where different systems may have their own data formats and structures.
Data Integration:
By using a CDM, organizations can facilitate easier and more efficient data integration processes. Data from various systems can be mapped to the canonical model, enabling seamless data exchange and interoperability.
It simplifies the maintenance and management of data integration solutions by providing a single, unified data model.
Use Cases:
CDMs are commonly used in enterprise application integration (EAI), service-oriented architectures (SOA), and other environments where data needs to be exchanged between multiple systems.
DAMA-DMBOK (Data Management Body of Knowledge) Framework
CDMP (Certified Data Management Professional) Exam Study Materials
The Master Data hub environment that serves as the system of record tor Master Data is:
The Master Data hub environment that serves as the system of record for Master Data is:
Consolidated Hub:
Central Repository: Acts as a central repository where master data is stored and managed.
Data Quality and Integration: Ensures data quality by integrating data from various source systems and providing a single source of truth.
System of Record: Maintains the most accurate and up-to-date information about master data entities.
Other Hub Types:
SOA (Service-Oriented Architecture): Focuses on providing a flexible architecture for integrating services but not specifically a master data hub.
Two-Speed Hub: A hybrid approach, but not solely a system of record.
Source Hub: May refer to original source systems, not a consolidated system of record.
Registry: Primarily maintains references to data stored in other systems but not a comprehensive system of record.
Data Management Body of Knowledge (DMBOK), Chapter 7: Master Data Management
DAMA International, 'The DAMA Guide to the Data Management Body of Knowledge (DMBOK)'
Information Governance is a concept that covers the 'what', how', and why' pertaining to the data assets of an organization. The 'what', 'how', and 'why' are respectively handled by the following functional areas:
Information Governance involves managing and controlling the data assets of an organization, addressing the 'what', 'how', and 'why'.
'What' pertains to Data Governance, which defines policies and procedures for data management.
'How' relates to Information Security, ensuring that data is protected and secure.
'Why' is about Compliance, ensuring that data management practices meet legal and regulatory requirements.
DAMA-DMBOK: Data Management Body of Knowledge (2nd Edition), Chapter 1: Data Governance.
'Information Governance: Concepts, Strategies, and Best Practices' by Robert F. Smallwood.
