Banking — Financial Product Taxonomy Graph Construction

Overview

The purpose of this DAG is to build a comprehensive taxonomy graph for financial products, which facilitates improved searchability and analytical insights within the banking sector. The primary data sources for this process include ERP transaction logs, CRM customer data, and financial product specifications. The ingestion pipeline begins with data extraction from these sources, followed by normalization of terminology to ensure consistency across various datasets. The next step involves creati

The purpose of this DAG is to build a comprehensive taxonomy graph for financial products, which facilitates improved searchability and analytical insights within the banking sector. The primary data sources for this process include ERP transaction logs, CRM customer data, and financial product specifications. The ingestion pipeline begins with data extraction from these sources, followed by normalization of terminology to ensure consistency across various datasets. The next step involves creating relationships between entities, which helps in mapping out the connections between different financial products and their attributes. Quality control measures are implemented throughout the process to maintain data integrity, including validation checks and error logging. Once the processing is complete, the results are indexed and exposed via a RESTful API, allowing business users to access the taxonomy graph efficiently. Key performance indicators (KPIs) for monitoring this DAG include data accuracy rates, processing time, and user engagement metrics on the API. The business value derived from this DAG lies in its ability to enhance product discoverability, improve data-driven decision-making, and streamline compliance reporting within the banking industry.

Part of the Market & Trading Intelligence solution for the Banking industry.

Use cases

• Improves search efficiency for financial products
• Enhances analytical capabilities for better decision-making
• Facilitates compliance with regulatory requirements
• Streamlines internal processes through better data organization
• Increases user engagement with intuitive data access