You can track different KPIs related to your data's quality, accessibility, security, and usage. Here are a few methods:
Data Quality Metrics. Track data quality metrics such as accuracy, completeness, consistency, and timeliness. High scores in these metrics indicate that your data management practices effectively ensure data quality.
Usage Metrics. Monitor how often and effectively your data is being used within the organization. High usage rates could show that your data is accessible and valuable to your teams.
Security Metrics. Make a catalog to file any data breaches or security incidents there. A low incidence of such events could indicate effective data security management.
User Feedback. It can provide insights into your data management practices' effectiveness and highlight improvement areas.
Regulatory Compliance. Track your compliance with relevant data protection and privacy regulations. Successful adherence indicates effective data governance and risk management.
Operational Efficiency. Monitor the impact of data management practices on operational efficiency and cost reduction. Reduced costs and increased productivity indicate effective data management.
If your data management practices contribute to improved business decisions and help achieve business goals, they can be deemed effective.