Retail — Retail Data Lineage Tracking Pipeline

Overview

The Retail Data Lineage Tracking Pipeline is designed to provide a comprehensive overview of data transformations within the customer personalization domain. Its primary purpose is to ensure compliance with stringent data protection regulations by tracking the flow and transformation of data throughout the processing stages. The pipeline ingests data from various sources, including customer transaction logs, CRM systems, and marketing campaign data, which serve as the foundational inputs for lin

The Retail Data Lineage Tracking Pipeline is designed to provide a comprehensive overview of data transformations within the customer personalization domain. Its primary purpose is to ensure compliance with stringent data protection regulations by tracking the flow and transformation of data throughout the processing stages. The pipeline ingests data from various sources, including customer transaction logs, CRM systems, and marketing campaign data, which serve as the foundational inputs for lineage tracking. The architecture consists of multiple processing steps: first, data ingestion occurs where raw data is collected and stored. Next, the data undergoes transformation, where it is cleaned and enriched to enhance its quality. Following this, lineage information is generated and updated in real-time as data is processed, allowing for a detailed audit trail. Quality controls are implemented to ensure data accuracy and integrity, including validation checks at each transformation step. The outputs of this pipeline include detailed lineage reports, compliance dashboards, and error logs, which provide stakeholders with insights into data handling and compliance status. Key performance indicators (KPIs) such as compliance rates and response times to audits are monitored continuously to assess the effectiveness of the lineage tracking system. Overall, this DAG not only streamlines compliance efforts but also adds significant business value by enhancing customer trust and enabling informed decision-making based on accurate data lineage.

Part of the Customer Personalization solution for the Retail industry.

Use cases

• Ensures compliance with data protection regulations
• Enhances transparency in data handling processes
• Reduces time and effort for audit preparations
• Increases customer trust through data accountability
• Facilitates informed decision-making with accurate data