In order to improve the Data Quality, DQ Analysts must have the clear picture about Current State of Data Quality as well as Organizational Readiness for Data Quality. Getting a …
Data Quality Assessment
DQ Analysts will need to sort out and prioritize findings. The goal of an initial Data Quality Assessment is to learn about the Data in order to define an Actionable …
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, …
Data Quality – Cleansing and Enrichment
Data Cleansing / Scrubbing Data Cleansing or Scrubbing transforms data to make it conform to data standards and domain rules. Cleansing includes detecting and correcting data errors to bring the …
Data Quality – Data Profiling
Data Profiling is a form of data analysis used to inspect data and assess quality. Data profiling uses statistical techniques to discover the true structure, content, and quality of a …
Data Quality – Causes of Data Quality Issues – Part-03
Issues Caused by System Design Failure to Enforce Referential Integrity: Referential integrity is necessary to ensure high quality data at an application or system level. If referential integrity is not …
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 …
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 …