Retail — Data Governance Framework for Retail

Overview

The primary purpose of this DAG is to implement a comprehensive data governance framework tailored for the retail industry. It begins by defining specific roles and permissions for data access, ensuring that only authorized personnel can interact with sensitive data. The data sources include ERP transaction logs, customer databases, and inventory management systems, which are ingested into the workflow for governance auditing. The processing steps involve auditing data access logs, validating co

The primary purpose of this DAG is to implement a comprehensive data governance framework tailored for the retail industry. It begins by defining specific roles and permissions for data access, ensuring that only authorized personnel can interact with sensitive data. The data sources include ERP transaction logs, customer databases, and inventory management systems, which are ingested into the workflow for governance auditing. The processing steps involve auditing data access logs, validating compliance with industry regulations, and documenting findings for stakeholder review. Quality controls are embedded throughout the process, including checks for unauthorized access and adherence to data privacy standards. The outputs of this DAG include detailed compliance reports, access audit logs, and a role-based access control matrix. Monitoring key performance indicators (KPIs) such as the number of unauthorized access attempts and compliance audit scores provides valuable insights into the effectiveness of the governance framework. Ultimately, this DAG enhances the business value by fostering trust in data management practices, reducing regulatory risks, and improving decision-making through transparent data governance.

Part of the Data & Model Catalog solution for the Retail industry.

Use cases

• Mitigates risks associated with data breaches
• Enhances regulatory compliance and reporting
• Improves stakeholder trust through transparency
• Streamlines data access management processes
• Facilitates informed decision-making based on reliable data