The 3 pillars of data management are:
- Leadership support: manager buy-in to prioritize and apply data management policies, processes, and procedures to ensure high data quality.
- Data governance: the practice of creating and implementing policies, processes, and procedures to ensure high data quality, security, and value in support of achieving business goals.
- Data quality: the degree in which data is accurate, complete, reliable, and actionable for a business to achieve its goals.
