Course Outline

Module 1: Fundamentals of Data Visualization for Insurance

• Topics Covered:

  • Importance of data visualization in insurance analytics

  • Key principles of effective data storytelling

  • Overview of visualization tools (Power BI, Tableau, Excel, Python, R)

  • Understanding insurance data: underwriting, claims, and risk metrics

• Case Study: Identifying risk patterns using visualization techniques

Module 2: Creating Interactive Dashboards for Underwriting and Risk Analysis

• Topics Covered:

  • Designing underwriting performance dashboards

  • Visualizing policyholder risk profiles and premium trends

  • Real-time monitoring of underwriting KPIs

  • Integration of actuarial data with visualization tools

• Case Study: Developing a real-time risk monitoring dashboard

Module 3: Claims Data Visualization and Fraud Detection

• Topics Covered:

  • Visualizing claims data to detect fraud and anomalies

  • Identifying claims trends and frequency analysis

  • Creating interactive reports for claims settlement efficiency

  • AI and machine learning applications in claims analytics

• Case Study: Using predictive analytics to detect fraudulent claims

Module 4: Regulatory Compliance and Financial Reporting in Insurance

• Topics Covered:

  • Regulatory reporting standards and compliance visualization

  • Automating insurance financial reporting processes

  • Data visualization for IFRS 17 and Solvency II compliance

  • Customizing regulatory dashboards for different stakeholders

• Case Study: Developing a compliance dashboard for financial reporting

Module 5: Advanced Reporting and Future Trends in Insurance Analytics

• Topics Covered:

  • Leveraging AI and big data in insurance reporting

  • Customizing reports for C-suite executives and stakeholders

  • Automating report generation using scripting tools (Python, R, SQL)

  • Future trends: InsurTech, AI-driven reporting, and cloud analytics

• Real-Life Project: Building an end-to-end insurance analytics dashboard