Data Quality Improvement: Preventive Actions How Does Metadata Improve Data-Quality The best way to create high quality data is to prevent poor Q.D from entering an organization. Preventive actions stop …
Data Quality – Incident Tracking System
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 – Data Steward – Stewardship Activities Definition and management of business terminology, valid data values, and …