In this course, members learn from one of our community member to learn a basic understanding of critical data, why we need data quality, principles and guidelines, and causes of issues and resolutions to help the business. 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. Students will walk away with practical knowledge and skills in the following:

• 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