Simon has an extensive background in the insurance industry and initially began to deploy data and predictive modelling techniques within that sector to both profile opponent behaviours and to devise analytics-driven toolkits to improve human decision-making leading to better, quicker decisions. Whilst still practising within insurance, he has also widened his scope to working with clients in non-insurance sectors, leveraging data analytics to provide an end-to-end service to optimise client performance – from initial diagnosis of sub-optimal performance areas, through deep-dive insight and root cause analysis to working with our lawyers to devise, deploy and measure effectiveness of improvement strategies.
Simon is able to assist any client in any sector where there is a source of relevant raw data of reasonable scope and volume to be analysed. His skills act as a highly effective bridge between clients' own MI/BI teams and technical SMEs to provide recommendations and solutions that key stakeholders intuitively understand. He works closely with DWF client partners to understand their clients' businesses and data so that the end analytical product carries real transformational meaning for clients.
- Production of detailed claimant solicitor behavioural profiler within insurance sector to identify existing, changing and new risks in the market.
- Predictive modelling within a prisoner population of propensity to self-harm/suicide to identify prisoners at unusually high risk of same.