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 Reporting
How Data Quality Reporting Works? The work of assessing the quality of data and managing data issues will not benefit the organization unless the information is shared through reporting so …
Data Quality Rules
Data Quality Rules – Foundation of Operational Management Data Quality Rules provide the foundation for operational management of Data Quality. Rules can be integrated into application services or Data services …
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 …
RDM – Reference Data Management
What is RDM – Reference Data Management Reference Data is any data used to characterize or classify other data, or to relate data to information.Reference Data Management entails control and …
Data Management – What is Master Data?
What is Master Data Management-MDM 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 …
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 – Cleansing and Enrichment
Data Cleansing 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 …