Consumer Products — Content Extraction for Taxonomy and Ontology Development

Overview

The purpose of this DAG is to extract content from multiple data sources, including ERP and CRM systems, to support the taxonomy and ontology development for the KMDS portal. The architecture consists of a robust data ingestion pipeline that normalizes and validates data to ensure high quality and compliance with industry standards. Initially, data is ingested from ERP transaction logs, CRM customer interaction records, and product information databases. The processing steps include data normali

The purpose of this DAG is to extract content from multiple data sources, including ERP and CRM systems, to support the taxonomy and ontology development for the KMDS portal. The architecture consists of a robust data ingestion pipeline that normalizes and validates data to ensure high quality and compliance with industry standards. Initially, data is ingested from ERP transaction logs, CRM customer interaction records, and product information databases. The processing steps include data normalization, validation checks, compliance verification, and quality control assessments. Quality controls involve systematic validation tests that confirm data integrity and adherence to predefined standards. The outputs of this DAG are stored in a centralized data warehouse, facilitating easy access for future queries and analyses. Performance metrics, such as data accuracy rates and processing times, are monitored to evaluate the efficiency of the workflow. This DAG delivers significant business value by providing reliable data that enhances product categorization and improves customer insights, ultimately driving better strategic decisions in the consumer products industry.

Part of the Data & Model Catalog solution for the Consumer Products industry.

Use cases

• Improved data quality leads to better decision-making.
• Enhanced product taxonomy supports targeted marketing strategies.
• Streamlined operations through automated data processing.
• Increased compliance reduces regulatory risks.
• Centralized data access improves collaboration across teams.