Abstract of KSA NDMO MCM 1.3 KSA Metadata NDMO architecture is a foundational component of effective data management, enabling organizations to maintain a structured and accessible metadata ecosystem. This post …
KSA NDMO – Data Catalog and Metadata – Metadata Structure – MCM.4.3 P1
Abstract Of KSA NDMO METADATA Metadata structure (KSA NDMO) plays a crucial role in data governance, as well as data management by providing structured information about data assets. This is …
Professional Journey – A Momentary Look
Career Snapshot Master’s degree in computer science with Specialization in Software Engineering and Earned PGD in Management Information System. Accumulated 20+ years’ Information Technology, Data Governance, Data Management, and Compliance …
KSA NDMO – Data Catalog and Metadata – Data Sources Prioritization MCM.1.2 – P1
Abstract Of KSA NDMO MCM.1.2 P1 In the era of data-driven decision-making, organizations must effectively manage their data assets to ensure accessibility, usability, and governance. A well-structured data catalog is …
RDM – Reference Data Management
Reference Data is any data used to characterize or classify other data, or to relate data to information.Reference Data Management entails control and maintenance of defined domain values, definitions, and …
Data Management – What is Master Data?
Different types of Data play different roles within an organization. They also have different management requirements. Malcolm Chisholm has proposed a six-layer Taxonomy of Data that includes Metadata, Reference Data, …
Reference and Master Data Management – Guiding Principles
Shared Data: Reference and Master Data must be managed so that they are shareable across the organization. Ownership: Reference and Master Data belong to the organization, not to a particular …
Data Quality – Causes of Data Quality Issues – Part-02
Issues Caused by Data Entry Processes Data Entry Interface Issues: Poorly designed data entry interfaces can contribute to data quality issues. If a data entry interface does not have edits …
Data Quality – Causes of Data Quality Issues – Part-01
Data Quality issues can emerge at any point in the data lifecycle, from creation to disposal. When investigating root causes, analysts should look for potential culprits, like problems with data …