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 …
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-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 – 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 Steward – Stewardship Activities
In most cases, Data Stewardship activities will focus on: Creating and Managing Core Metadata: Definition and management of business terminology, valid data values, and other critical Metadata. Stewards are often …