Machine Learning in Finance Case Studies

Real World R for Actuaries Course

Agrippa is running a one day intensive course on Monday 15th of April called "Real World R for Actuaries" in Dogpatch Labs, The CHQ Building, Dublin 1.

Events

InsurTech Ireland - February Meetup

InsurTech Ireland - February Meetup Making Data Analytics Work for Insurance. We are speaking at the next InsurTech meetup being held at 6pm on 26th Feb in the vaults of Dogpatch Labs, The CHQ Building, D1.

Machine Learning

Insurance Data Science 2018 Conference

The first Insurance Data Science conference was held in London on 16/17 July. Here is our report.

Data Strategy

Agrippa Data Consulting - Welcome

The founders of Agrippa Data Consulting set out how we help our clients make money from data using business domain knowledge, technical skills and data analytics.

Machine Learning

What is Propensity Modelling?

In this post, we introduce the concept of propensity modelling - the likelihood of a customer to buy a product - and its use in business.

Data Engineering

Case Study: Profitability Study of a Book of Commercial Properties

Using open-source and freely available data science tools, we took a historical book of catastrophe-exposed commercial property insurance and assessed the segments of the market in terms of risk and profitability.

Bayesian Statistics

Case Study: Bayesian Modelling of Loss Curves

Using Bayesian modelling techniques, we helped a general insurer improve estimates of claims reserves despite high levels of uncertainty and changes in reserving philosophy.

Customer Lifetime Value

Case Study: Pay-Per-Click Optimization

Using Search Engine Optimization results and Machine Learning techniques we built a Pay-Per-Click adword campaign tool, and drove a 15% increase in revenue within a short period.

Machine Learning

Case Study: Lapse Modelling in Insurance

Using data modeling and predictive analytics, we assisted a life insurer to understand the lapse behaviour of its customer base in its protection business.

Fraud

Case Study: Car Insurance - Fraud Analysis

By embedding a combination of graph databases, machine learning and data visualization within Claims Investigation Units we developed a solution that improved fraud detection rates by 25%.

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