Consumer Products — Data Lineage Tracking for Compliance Processes

Overview

The primary purpose of this DAG is to facilitate the tracking of data lineage used in compliance processes within the consumer products industry. By integrating information about data sources and the transformations applied, it provides a comprehensive view of data flow and integrity. The architecture begins with the ingestion of metadata from various sources, including ERP systems and compliance databases. Following ingestion, the DAG analyzes data flows to identify and document the transformat

The primary purpose of this DAG is to facilitate the tracking of data lineage used in compliance processes within the consumer products industry. By integrating information about data sources and the transformations applied, it provides a comprehensive view of data flow and integrity. The architecture begins with the ingestion of metadata from various sources, including ERP systems and compliance databases. Following ingestion, the DAG analyzes data flows to identify and document the transformations that occur at each step. Quality control measures are implemented, including data integrity validations to ensure that all data remains accurate and reliable throughout the process. The outputs of this pipeline include detailed lineage reports that highlight the traceability of data, which are essential for compliance audits and regulatory requirements. Key performance indicators (KPIs) monitored include the percentage of traceable data and the response time for lineage requests, both of which are critical for assessing the effectiveness of compliance efforts. By providing clear visibility into data lineage, this DAG enhances the organization's ability to meet regulatory standards, reduces compliance risks, and improves overall data governance, delivering significant business value in the consumer products sector.

Part of the Enterprise Search solution for the Consumer Products industry.

Use cases

• Enhances compliance with industry regulations
• Reduces risk of data-related compliance failures
• Improves data governance and transparency
• Speeds up audit processes with clear reporting
• Increases stakeholder trust through data integrity