Data Quality Incident Tracking System Overview The incident tracking system will collect performance data relating to issue resolution, work assignments, volume of issues, frequency of occurrence, as well as the …
Data Quality – Improvement (Part 1)
Data Quality Improvements – Assessing the Current State In order to improvements the Data Quality, DQ Analysts must have the clear picture about Current State of Data Quality as well …
Data Quality Assessment
Data Quality Assessment – A Practical Approach to Improvement DQ Analysts will need to sort out and prioritize findings. The goal of an initial Data Quality Assessment is to learn …
Reference and Master Data Management – Guiding Principles
Shared and Owned Enterprise Data in Master Data Mangement Principles Stewardship and Data Quality Governance Change Control and System of Record in Master Data Mangement Principles
Data Quality – Causes of Data Quality Issues – Part-03
Data Quality Issues Part-03 Issues Caused by System Design Failure to Enforce Uniqueness Constraints Multiple copies of data instances within a table or file expected to contain unique instances. If …
Data Quality – Business Rules
Business Rules in Data Quality Business Rules are commonly implemented in software or by using Document Templates for Data Entry. Some common simple Business Rule types are: Type of Business …
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 …