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 …
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 …
Data Quality – Core Dimensions
A Data Quality dimension is a measurable feature or characteristic of data. The term dimension is used to make the connection to dimensions in the measurement of physical objects (e.g., …
Data Quality – Components and Tools
Data Quality Components Data Profiling Data Quality Analysis Validation Data Cleansing Matching Eliminate Errors, Duplications and Inconsistencies Data Quality Monitoring Views, Reports and Dashboards Data Quality Tools Examples Informatica Data …