High Tech — Data Lineage Tracking for Enhanced Transparency

Overview

The primary purpose of this DAG is to facilitate data lineage tracking within the KM2 portal, ensuring transparency and traceability of data elements throughout their lifecycle. The architecture includes multiple input sources such as ERP transaction logs, customer interaction data, and sensor data from IoT devices. The ingestion pipeline captures these data sources and initiates a series of processing steps that document the origin and transformations of each data element. The processing steps

The primary purpose of this DAG is to facilitate data lineage tracking within the KM2 portal, ensuring transparency and traceability of data elements throughout their lifecycle. The architecture includes multiple input sources such as ERP transaction logs, customer interaction data, and sensor data from IoT devices. The ingestion pipeline captures these data sources and initiates a series of processing steps that document the origin and transformations of each data element. The processing steps include data extraction, transformation, quality control checks, lineage recording, and output generation. Quality controls are applied at each stage to ensure the accuracy and reliability of lineage information, which is critical for maintaining user trust in the data's integrity. The outputs of this DAG include comprehensive lineage reports, metadata catalogs, and real-time dashboards that display lineage information. Monitoring KPIs such as data accuracy rates, lineage completeness, and processing times are essential to assess the effectiveness of the pipeline. The business value of this DAG lies in its ability to provide stakeholders with clear visibility into data origins and transformations, thereby fostering confidence in data-driven decision-making processes and compliance with regulatory requirements.

Part of the Data & Model Catalog solution for the High Tech industry.

Use cases

• Improves data integrity and reliability for decision-making
• Facilitates compliance with industry regulations
• Increases operational efficiency through streamlined processes
• Boosts stakeholder confidence in data-driven insights
• Enables better risk management through clear lineage visibility