In the ever-evolving financial sector, leveraging data for advanced analytics and predictive modelling is crucial for staying competitive. One prominent bank faced the challenge of optimising their data and analytics workloads

To improve their value offering to their customers, our client needed models readily available that could score in real-time, generate better credit scores and score for various points in the credit life cycle, from pre-scoring a prospective customer

Our team developed a machine learning framework for a major player in the South African financial services industry. We introduced a Champion-Challenger system to allow newer models to be tested against the "champion" models in a live environment.

The client faced issues with fraud related to loans on credit card machines. Vendors and sales agents were exploiting the system; vendors by obtaining loans on multiple devices fraudulently, and sales agents by earning Installation commissions.

Spatialedge designed and implemented a predictive maintenance solution for a client in the mining industry. The solution used existing fleet data to determine when tyres are likely to need replacing

In order to reduce road incidents, a government department focusing on traffic management and road safety, sought to innovate their approach. They recognised the need for predictive models to forecast hotspots and enable prevention strategies.

Basket Analysis involves analysing the purchasing patterns of consumers by observing the different combinations of goods shoppers buy together. This action allows retailers to quantify consumer behaviour.

The fashion landscape is constantly changing as new trends arise. Retailers closely monitor these changing trends to aid in purchase decisions and predict sales. As one trend replaces the other, retailers mark down stock to drive the last sales.