Cursusaanbod

Introduction to WrenAI for Financial Analytics

  • Key features and benefits for finance teams
  • Comparison with traditional BI tools
  • Finance-specific use cases

Financial Data Modeling in WrenAI

  • Defining KPIs for financial performance
  • Standardized metrics for FP and A and risk analysis
  • Managing financial data sources

Regulatory and Audit Considerations

  • Compliance frameworks in financial reporting
  • Audit-friendly dashboard design
  • Ensuring data integrity and traceability

Designing Regulatory-Aware Dashboards

  • Building dashboards for risk management
  • Incorporating compliance checks and annotations
  • User roles and access control in finance dashboards

Integration with Finance Systems

  • Connecting WrenAI to ERP and accounting platforms
  • Real-time data updates for financial reporting
  • Managing data refresh cycles

Advanced KPI Modeling

  • Scenario-based financial modeling
  • Forecasting with AI-driven metrics
  • Stress testing for risk assessment

Monitoring and Governance

  • Usage tracking and audit logs
  • Regulatory reporting workflows
  • Best practices for governance in financial analytics

Future of WrenAI in Financial Analytics

  • AI-assisted regulatory reporting
  • Emerging compliance requirements
  • Expanding financial use cases for WrenAI

Summary and Next Steps

Vereisten

  • An understanding of financial reporting and KPIs
  • Experience with data analysis or BI tools
  • Familiarity with regulatory compliance in finance

Audience

  • Finance analytics teams
  • FP and A professionals
  • Risk analysts
 14 Uren

Aantal deelnemers


Prijs Per Deelnemer

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