Ensuring compliance with laws, regulations, and policies is crucial for many heavily regulated institutions including banks, insurance companies, and government agencies. By efficiently combining different data sources and increasing data quality, knowledge graphs surface critical, actionable insights from complex connections and patterns that naturally occur in regulatory compliance data. The extracted insights have the potential of significantly improving, simplifying, and speeding up compliance efforts in any regulated organisation.
In this presentation, we briefly introduce knowledge graphs and explain why they are relevant to many compliance issues. We then show a real-world example of a governance knowledge graph for a regulated government institution, explaining how it has been built and what value it has provided to the organization. We will discuss the challenges encountered along the way and how they have been tackled using Neo4j and GraphAware Hume.