In a data governance program focusing on data quality, what is typically present?

In a data governance program focusing on data quality, having many data domains and many business processes is essential for ensuring that data quality standards are maintained and adhered to across the organization. Data quality can vary significantly across different data domains—such as customer information, financial data, and product data—each of which may have its own unique quality requirements, definitions, and metrics.

Additionally, the presence of many business processes allows an organization to identify and address data quality issues at various points within its operations. By having multiple business processes, the data governance program can ensure that data quality is a consideration throughout the data lifecycle, from data creation to data usage. This approach supports comprehensive data stewardship and encourages the establishment of data quality governance practices that support multiple facets of the organization, leading to consistent and reliable data across diverse functional areas.

This interconnectedness of data domains and business processes creates a robust data governance framework that is better equipped to manage complexities and ensure high standards of data quality throughout the organization.