Case study: Finance & Banking: Navigating Complex Regulatory Landscapes

Scenario: A global bank wants to streamline compliance reporting, risk assessment, and portfolio analytics. Stakeholders often need quick answers to queries like:

• “Show me the total exposure to bonds issued by X Corp across all our portfolios.”
• “How did our credit default swap positions change during the last quarter?”
• “What are the top 10 customers with overdue loans spanning multiple branches?”

Challenges:

• Complex Schema & Scale: Financial institutions manage massive databases with hundreds of tables covering loans, trades, market data, and customer information.
• Regulatory Overhead: Compliance teams must confirm data lineage and ensure outputs are auditable.
• Entity Resolution Needs: The same borrower may appear in multiple systems under slightly different names. Without unifying these records, risk assessments or compliance checks can fail to reflect the true exposure.

Solution with KGs & Entity Resolution: A KG integrated with entity resolution mechanisms ensures that LLMs can interpret “X Corp” as the same entity across loan records, bond tables, and credit reports. Text-to-SQL queries become more reliable: the model retrieves information from all relevant tables, understands the domain terms, and accounts for nuanced relationships, improving decision-making and regulatory compliance.

An example with cognee

TBD