About

David Griffiths

David has worked with many companies on the application of advanced statistical techniques to a wide range of commercial problems.  These have included:

• modelling to predict the likelihood of customer lapsing so that sensible retention strategies can be put in place,
• maximising upsell and cross selling opportunities,
• the generation of score card models to predict credit worthiness and debt,
• the optimisation of customer contact strategies,
• the prediction of campaign response for a wide range of goods and services from luxury cars, to charity response, to games consoles. 
• segmenting customers into meaningful sub-groups to facilitate better communication.
• building geo-demographic classifications to better understand who your customers are.

Relevant Experience and Skills

• Background in Research and Analysis
• Highly experienced in Data Analytics and Statistical Modelling
• Carried out projects in just about all industry sectors
• Good at liaising and working with clients to define project objectives, and to meet these within agreed timescales and costs.
• Familiar with a wide range of statistical analysis packages such as SPSS, SAS, R, Answer Tree, Latent Gold, Clustan, Neural Net Modeler, and also mapping software.