Once you have chosen a maturity model for data governance, you can use it to align your data governance goals with your maturity level. To begin, conduct a baseline assessment of your current data governance maturity level using the criteria and indicators of the maturity model. This can be done through a self-assessment tool, survey, interview, or audit. Afterward, identify the gaps and opportunities for improvement based on the assessment results with a SWOT analysis, gap analysis, or root cause analysis. Then define your target data governance maturity level based on your business goals, vision, and strategy using a SMART framework, balanced scorecard, or value proposition canvas. Additionally, develop a data governance roadmap that outlines the actions, milestones, resources, and metrics to achieve your target maturity level. A RACI matrix, Gantt chart, or Kanban board can be used to plan and monitor your data governance activities and progress. Finally, review and update your data governance goals and maturity level periodically to ensure alignment and relevance with a feedback loop, dashboard, or scorecard to measure and communicate your data governance performance and value.