1.1 Capabilities offered by Compliance Studio

This section lists the Compliance studio capabilities:

• Purpose Built for Fighting Crime
  • Fully defined and sourced Financial Crime Graph Model supporting detection and investigation.
  • Provided Accelerators for finding the needles in the haystack.
  • What if Analysis for existing Scenarios
  • Integration with ECM and Investigation Hub to provide meaningful guidance to investigators for rules-based and ML-generated alerts
  • Enterprise-ready and compatible with the underlying OFSAA framework
  • Works with earlier 8.0.x releases of Oracle Financial Crime and Compliance Management Anti Money Laundering (AML), Enterprise Case Management, and Fraud applications.

• Entity Resolution for AML
  • Entity Resolution to enhance monitoring effectiveness and provide a single customer view
  • Linking and Resolution across internal & external data to improve single entity detection
  • Allows for Scenario/Model detection across internal data
  • Multi-attribute enabled with ML boosts for Name/Address models
  • Prebuilt Integrations and easily configurable for Data Sources like ICIJ, Safari, etc.

• Analytics of Choice
  • Choose from our proprietary models or bring your own
  • Fully embedded Graph Analytics Engine and Financial Crime Model
  • Embedded with a highly scalable in-memory Graph Analytics Engine (PGX)
  • Industry's most intuitive Graph Query Language to gain rapid insights

• Model Management & Governance
  • End-to-end management from model creation to model deployment.
    • Data Ingestion (Oracle DB, Graph, Hive)
    • Model Development
    • Supports virtually all open source packages, interpreters, etc.
    • Process in Database or Big Data
    • Model Training
    • Model Performance Evaluation
    • Model Explainability
    • Model Tracking and Audit
    • Approval Mechanisms
    • Model Deployment
    • Scheduling
    • Ongoing Monitoring
• ML Foundation for Financial Crimes
  • Integrated with Oracle Financial Crime Application Data and readily usable across the enterprise financial crime data lake.
  • Pre-engineered features and transformations to address each use case
  • Simplified APIs for each stage of the modeling lifecycle
  • Leverage the power of Graph, Supervised ML, and Unsupervised ML to build typology detection models, detect anomalies, and risk score customers or events
  • Event Scoring for false positive prediction and disposition
  • Ongoing Monitoring of Model Performance and Concept Drift
  • Automated Scenario Calibration and Scenario Conversion Utility for Oracle AML Scenarios