In this course, members learn the critical compliments of Data Quality in relation to Data Governance. Data Quality management includes managing data through its lifecycle by setting standards, building quality into the processes that create, transform, and store data, and measuring data against standards. This course dives into the basic understanding of critical data, why we need data quality, principles and guidelines, and causes of issues and resolutions to help the business.:

• Why do we need Data Quality?
• Principles of Data Quality Management focusing on critical data
• Common Drivers for identifying the criticality of data
• Developing a Governed Approach
• Defining and the Implementation Process
• Data Quality Dimensions- Completeness, Usability, Timing Issues, Flexibility, Value etc.
• Cases of Data Quality & Resolutions