Preparing data for Catastrophe Risk Models

Quantemplate provides flexible tools to automate data preparation for catastrophe risk models and other downstream systems. In this video we see how a Quantemplate pipeline transforms a property Schedule of Values to a typical risk model format.

Video Features

Join reference data
Map to model schema
Format data for model compatibility
Machine Learning to automate processes

Data Integration Demo

Quantemplate Integrate is a suite of self-service data preparation and integration tools, enabling those who understand the data to control the data. This video shows a full workflow demonstration of a binding authority scenario: harmonising disparate data sources from multiple coverholders, then analysing and sharing that data.

Video Features

Import data in range of formats and define the structure
Map column headers to a common schema aided by
ML-powered Smart Matching
Map data values such as company names to a consistent
Join premium and claims data to precisely determine exposure
Join external data to enrich bordereaux
Cleanse invalid data
Add calculations to determine profitability
Analyse the data with QuanTemplate’s business
intelligence tools to gain actionable insights
Automate Solvency II reporting including data exports for
Annual Solvency Returns
Share data with regulators and following underwriters

Business Intelligence and Analytics Demo

Quantemplate Analyse is a self-service BI environment, allowing business users to instantly drill into their data and take actions to optimise their portfolio. This video shows an insurer portfolio optimisation scenario, drilling into coverholder data to establish top and bottom performers and assess accumulation and clash risk.

Video Features

Pivot table to instantly segment and filter
Equation editor to calculate loss ratios
Graphing library to visualise trends and identify outliers
Policy-level analysis to drill into claims data
Geoplotting to reveal aggregation and clash
Integrating new data from additional coverholders