The first step in establishing a metrics-based approach to data quality improvement is to create a common, shared understanding of what data quality means to the business.
By developing a personalized definition of data quality, the organization can achieve this common understanding by enabling communication across individuals and groups affected by specific data quality issues.
This definition further serves as a vision and guideline for the identification of data quality metrics.