Findings from a readiness assessment will help determine where to start and how quickly to proceed. Findings can also provide the basis for roadmapping program goals. If there is strong …
Data Quality – Tools
Tools should be selected and tool architectures should be set in the.planning phase of the enterprise Data Quality program. Tools provide a.partial rule set starter kit but organizations need to …
Data Quality – SLA – Service Level Agreements
A data quality Service Level Agreement (SLA) specifies an organization’s expectations for response and remediation for data quality issues in each system. Data quality inspections as scheduled in the SLA …
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 – Business Rules
Business Rules are commonly implemented in software, or by using Document Templates for Data Entry. Some common simple Business Rule types are: Definitional Conformance: Confirm that the same understanding of …
Data Quality Programs – Guidance and Principles
Criticality: A Data Quality program should focus on the data most critical to the enterprise and its customers. Priorities for improvement should be based on the criticality of the data …
OLAP – ROLAP, MOLAP and HOLAP
OLAP – Online Analytical Processing It is a technology, used to organize large business databases and supports to perform complex and multidimensional analysis, at high speeds on large volumes of …