***
Skip to content

Supporting Information

Summary

Supporting Information encompasses reference data and supporting details that provide context and enable proper interpretation of legal entity data. This includes currency information, exchange rates, and other reference data that supports entity management activities. Supporting information is essential for accurate financial reporting, transaction processing, risk management, and regulatory compliance.

The Challenge

Organizations face significant challenges in supporting information management:

  • Reference data complexity — Multiple types of reference data with different update frequencies and sources
  • Data quality — Maintaining accurate and up-to-date reference data
  • Temporal tracking — Tracking reference data changes over time (e.g., exchange rates)
  • Multi-source integration — Integrating reference data from multiple sources and systems
  • Regulatory requirements — Meeting requirements for reference data usage and reporting
  • Data consistency — Ensuring consistent reference data across systems and entities
  • Update management — Managing frequent updates to reference data (e.g., daily exchange rates)

Why EKG is Required

Enterprise Knowledge Graphs provide powerful supporting information management capabilities:

  • Reference data integration — Connect reference data from multiple sources and systems
  • Temporal tracking — Track reference data changes over time and maintain historical records
  • Entity linking — Link reference data to entities, transactions, and financial information
  • Regulatory integration — Link reference data to regulatory requirements and reporting obligations
  • Data quality — Identify and resolve reference data inconsistencies
  • Multi-entity analysis — Analyze reference data usage across entity portfolios
  • Update management — Automate reference data updates and tracking

Business Value

  • Financial reporting — Support accurate financial reporting through proper reference data
  • Risk management — Assess and manage risks through accurate reference data
  • Regulatory compliance — Meet requirements for reference data usage and reporting
  • Operational efficiency — Automate reference data management and reduce manual effort
  • Data quality — Improve reference data quality through validation and standardization
  • Strategic insights — Understand reference data usage and optimization opportunities

Components