Data Science

In the modern world, processes require a deeper, faster and more integrated environment to allow agile and immediate responses to market conditions. It is time to use data science to enhance your internal actuarial capabilities.

QED Data Science understands how advanced analytical techniques can enhance actuarial and data management processes. These insights can augment your current actuarial processes to give deeper insights, improve efficiency and allow actuarial resources to focus on actuarial insights rather than data processing and model development.

Dashboarding and Visualisations

It is essential for you, as a decision-maker, to be able to analyse your business critically to understand its challenges and strengths. In today’s fast-paced business world, it has become increasingly important for this information to be available in real-time so that you can make decisions faster than your competitors. The first step is to generate dashboards and provide this data in a way that can be easily analysed.

Many businesses already have business intelligence functionality. The modern dashboard, however, does far more than tell the story of where your business has been. It is vital to know where the business is going and it allows you to do just that through parameterisation and predictive analytics.

Predictive Underwriting

Accurately identifying customers likely to initiate a claim early in the policy life-cycle can significantly impact a product's performance. QED is working with insurers to implement advanced analytical models, including models underpinned by machine learning algorithms, that assist in identifying these policies during underwriting and provide information that can help in accurately pricing these risks.

Geospatial Analysis

Including geospatial information in the current analysis of an insurer can add significant insight into the business by identifying geospatial concentration risks, understanding mortality experience across different locations or interpreting telematics data for usefulness and integrity. QED looks to incorporate external geospatial data and geospatial modelling techniques into current actuarial applications such as pricing, reinsurance reviews and management information.

Application of Data Science

The application of Data Science techniques to each component of a financial services business can lead to new and valuable insights and identify new opportunities. QED works with our clients to identify areas where these techniques can be applied to tap into these opportunities.

Other Services

Fraud framework
Cross-sell modelling and next best action
Data management policy
Data governance