Focused Tools, Not Bloated Software
The Insurance Interface represents SGCX's philosophy: specialized tools built specifically for actuaries and insurance professionals, not generic statistical software that forces you to pay for features you'll never use.
Actuarial-First Design
Insurance-Only Features: Every tool designed specifically for actuarial work
Drag-and-Drop Simplicity: Upload claims data, configure models, download reports
Free Statistical Foundation: Built on PyRegression, PySurvival, Project Lacuna
Actuarial Pricing: Pay for insurance tools, not pharmaceutical features you don't need
The Performance Story (0-60 MPH)
SGC-Insurance delivers professional actuarial analysis with game-changing speed:
- Claims Reserving: Bootstrap chain ladder with 10,000 simulations in under 3 minutes
- Pricing Models: GLM pricing analysis with automatic model selection
- Solvency II Reporting: Complete regulatory package generation
- Catastrophe Modeling: Monte Carlo cat models with millions of scenarios
- Experience Studies: A/E analysis with credibility weighting
Under the Hood (The V8 Engine)
Powered by specialized actuarial libraries plus statistical foundations:
- PyActuarial: Chain ladder reserving, credibility theory, life tables
- PySurvival: Mortality analysis, claim duration, policy lapse
- PyRegression: GLMs for pricing, frequency-severity models
- PyMVNMLE: Missing insurance data handling
- PyExtreme: Catastrophe modeling, extreme claims
- PyBootstrap: Reserving confidence intervals, model validation
- PyDistributions: Actuarial distributions (Pareto, log-gamma, etc.)
- PyMultivariate: Risk correlation modeling
What's NOT Included (Insurance-Specific)
Focused on actuarial work, not unrelated statistical methods:
- ❌ Clinical/Medical Tools: No biostatistics, ROC curves, clinical prediction
- ❌ Econometric Methods: No panel data, instrumental variables
- ❌ Non-parametric Tests: Limited use in actuarial practice
- ⚠️ Time Series: Occasionally useful for economic scenarios
- ⚠️ Bayesian Methods: Growing in actuarial science but specialized
🛡️ Complete Actuarial Toolkit
8 specialized libraries covering actuarial mathematics, survival analysis, regression modeling, extreme value theory, and statistical foundations. Everything actuaries need, nothing they don't.
Workflow: No Actuarial Programming Required
Built for FSAs and FCASs, not software developers:
- Upload Insurance Data: Drag-and-drop claims files, policy data, or experience studies
- Choose Analysis Type: Select from reserving, pricing, capital modeling, or regulatory templates
- Configure Models: Use dropdown menus for distributions, sliders for parameters
- Run Calculations: GPU-accelerated actuarial computations in the background
- Download Results: Regulatory reports, actuarial memoranda, presentation-ready summaries
Advanced Actuarial Modeling
Comprehensive toolkit for modern actuarial challenges:
- Generalized Linear Models: Poisson, gamma, binomial, and Tweedie distributions
- Survival Analysis: Kaplan-Meier, Cox regression, parametric survival models
- Claims Reserving: Chain ladder, Bornhuetter-Ferguson, stochastic reserving
- Experience Analysis: A/E studies, credibility theory, Buhlmann-Straub models
- Catastrophe Modeling: Extreme value theory, copulas, aggregate loss modeling
- Machine Learning: Random forests, gradient boosting, neural networks for pricing
Product Line Specialization
Tailored analytics for different insurance products:
- Life Insurance: Mortality tables, lapse modeling, policy valuation
- Health Insurance: Medical cost trend, utilization modeling, ACA compliance
- Property & Casualty: Catastrophe modeling, workers' compensation, auto insurance
- Pension Plans: Liability valuation, funding strategies, longevity risk
- Reinsurance: Ceding analysis, retrocession, alternative risk transfer
- Cyber Insurance: Emerging risk modeling, correlation analysis, scenario testing
Target Users
Designed for insurance industry professionals:
- Actuaries: ASA, FSA, FCAS credentialed professionals and students
- Underwriters: Risk selection and portfolio management specialists
- Product Managers: Insurance product development and optimization
- Risk Managers: Enterprise risk assessment and management
- Regulatory Teams: Compliance and regulatory reporting specialists
- Data Scientists: Insurance analytics and predictive modeling teams
Missing Data in Insurance
Insurance-Specific Data Challenges
Claims Data: Incomplete incident reports, missing injury details, unreported claims
Policy Data: Partial applications, missing risk factors, data quality issues
Third-Party Data: External data sources with systematic missingness patterns
Historical Records: Legacy systems with incomplete data migration
Regulatory Compliance
Built-in support for insurance regulatory requirements:
- Solvency II: SCR calculations, ORSA reporting, internal models validation
- IFRS 17: Insurance contract liability measurement and disclosure
- NAIC Requirements: RBC calculations, statutory reporting, principle-based reserving
- State Regulations: Rate filing support, actuarial memoranda generation
- International Standards: ICS, global regulatory harmonization requirements
Technology Innovation
Modern computational approaches to actuarial problems:
- GPU Acceleration: Massive parallelization for Monte Carlo simulations
- Distributed Computing: Cluster computing for large-scale actuarial models
- Real-Time Analytics: Dynamic pricing and real-time risk assessment
- Cloud Scalability: Elastic infrastructure for seasonal modeling demands
- API Integration: Seamless connection to policy administration systems
Data Sources and Integration
Comprehensive data integration capabilities:
- Internal Systems: Policy administration, claims management, billing systems
- Third-Party Data: Credit bureaus, telematics, weather data, economic indicators
- Public Datasets: Mortality tables, economic statistics, regulatory filings
- Alternative Data: Social media, satellite imagery, IoT sensors
- Industry Databases: ISO, NCCI, reinsurance market data
Advanced Analytics Capabilities
Predictive Modeling: Machine learning for underwriting and claims prediction
Optimization: Portfolio optimization, capital allocation, reinsurance strategies
Simulation: Stochastic modeling, scenario analysis, stress testing
Visualization: Interactive dashboards, regulatory reports, executive summaries
Industry Applications
Specialized solutions for different insurance segments:
- Life Insurers: Mortality analysis, lapse modeling, asset-liability management
- Health Plans: Medical cost projections, provider network analysis, ACA compliance
- P&C Insurers: Catastrophe modeling, personal/commercial lines pricing
- Reinsurers: Portfolio analysis, treaty structuring, capital optimization
- Captives: Risk retention analysis, feasibility studies, alternative risk financing
- Consultants: Client analysis, regulatory support, expert witness services
Educational Integration
Supporting actuarial education and professional development:
- SOA/CAS Exam Prep: Practice problems and study materials integration
- University Programs: Academic licensing for actuarial science programs
- Professional Development: Continuing education modules and certifications
- Research Support: Tools for actuarial research and academic publications
Competitive Advantages
Key differentiators in the actuarial software market:
- vs. Legacy Systems: Modern interface, cloud deployment, advanced analytics
- vs. Excel: Scalability, automation, regulatory compliance, error reduction
- vs. General Statistics: Actuarial-specific functions, regulatory templates
- vs. Consulting Solutions: Lower cost, customizable, no vendor lock-in
Pricing Model
Flexible pricing for different organizational sizes:
- Individual Actuaries: Professional licenses for consulting and small firms
- Actuarial Departments: Team licenses with collaboration features
- Enterprise Solutions: Company-wide access for large insurers
- Academic Licenses: Discounted pricing for educational institutions