Identify root causes of data quality issues and develop a data quality improvement plan to prevent re-occurrence. The plan includes prioritization of issues, scope, and required resources. Allocate personnel, budget, and technology to ensure sufficient support for improvement projects. Align resources with business objectives to maximize impact.