Lapse Experience Analysis

Our client, a large mutual insurer in the UK, has recently embarked on a journey to using data science more effectively within the value management team.

What we have done:

We have worked out a plan for supporting the team with their strategy towards using data science and upskilling their team to achieve their objective to identify strategic initiatives for value management. Our work involved:

  • Identifying a current state assessment of skills gap within their team

  • Initiating technical training sessions with core members of the team

  • Developing an outline course on the use of data science for the value management team, with a view of identifying how the client could use data more effectively to support the CFO in its value management strategy.


For this client we have delivered:

  • Training that introduced generalised linear modelling and its use as a predictive modelling technique within insurance. The training used open source programming software.

  • An overview to generalised linear modelling as a predictive modelling tool used within data science

  • A hands-on training session looking at an example application of GLMs to actuarial data, within lapse experience analysis

  • A wrap up of any open discussion points or questions from the previous two days



Left: Plot of Predicted vs Actual without interaction - Multiple Linear Regression, Right: Plot of Predicted vs Actual with interaction - Multiple Linear Regression
Left: Plot of Predicted vs Actual without interaction - Multiple Linear Regression, Right: Plot of Predicted vs Actual with interaction - Multiple Linear Regression