Consumer Products — Data Governance Compliance Pipeline

Overview

The Data Governance Compliance Pipeline is designed to implement robust data governance processes that ensure compliance with industry standards in the consumer products sector. The primary purpose of this DAG is to manage sensitive data through classification, masking, and access tracking, thereby mitigating risks associated with data breaches and non-compliance. The pipeline ingests data from various sources, including ERP transaction logs, customer databases, and market research data. The i

The Data Governance Compliance Pipeline is designed to implement robust data governance processes that ensure compliance with industry standards in the consumer products sector. The primary purpose of this DAG is to manage sensitive data through classification, masking, and access tracking, thereby mitigating risks associated with data breaches and non-compliance. The pipeline ingests data from various sources, including ERP transaction logs, customer databases, and market research data. The ingestion process begins with data extraction from these diverse sources, followed by a classification step that categorizes data based on sensitivity levels. Next, sensitive data undergoes masking to protect personally identifiable information (PII) and proprietary business information. Quality control measures are then applied to validate data integrity and accuracy, ensuring that all data meets compliance requirements. Outputs from this pipeline include detailed audit reports, compliance documentation, and access logs, which are essential for regulatory audits. Monitoring key performance indicators (KPIs) such as data access frequency, masking effectiveness, and compliance report generation time provides insights into the governance process's efficiency. By implementing this DAG, organizations in the consumer products industry can significantly enhance their data governance framework, reduce compliance risks, and improve overall operational efficiency.

Part of the Literature Review solution for the Consumer Products industry.

Use cases

• Mitigates risks associated with data breaches
• Enhances compliance with regulatory standards
• Improves data quality and integrity
• Facilitates efficient audit processes
• Boosts consumer trust through data protection