How is DQ framework aligned with DG policies?

The connection between data governance and data quality framework can be summarized in the following ways:

  • Both share the goal of promoting effective and efficient use of data within an organization.

  • Data Governance is the “what” and “who”. It defines the overall strategy, establishes data ownership, and sets quality expectations. Data governance frameworks define data standards and policies that data quality initiatives need to adhere to.

  • Data Quality Framework is the “how” and “when”. It outlines the specific steps and procedures to assess, measure, and improve data quality based on the governance guidelines.

  • Data quality framework can provide feedback to data governance teams on areas where policies and standards may need to be improved or clarified.

  • Data governance empowers the data quality framework by providing resources, tools, and support for ongoing data quality initiatives.

  • Both data governance and data quality frameworks require cross-functional collaboration.

The Data Quality framework is supported by the CEDO and BLDO roles and responsibilities set by the enterprise Data Governance.

Additionally, the Data Quality Framework is designed in compliance with structuring concepts, such as Data domains, defined by Data Governance:

DQ

Overview of key structuring concepts