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Case studies

Retail Dominic McInerney Retail Dominic McInerney

Sizing a £18m opportunity to automate a Big-4 UK Supermarket’s clearance process

Predictive analytics can make a big difference to a company’s revenue by delivering cost savings through efficiency and from the benefits of applying a more strategic approach. This case study shares the findings of a recent diagnostics project we undertook for a large national supermarket chain that asked us to look at its discounted stock reporting for an initial proof-of-concept model.

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Financial Services Dominic McInerney Financial Services Dominic McInerney

Improved forecasting and automated regulatory reporting: two simple use cases for analytics that drive impact within Financial Services

Predicting future performance with accuracy is a time-consuming but necessary part of managing any business. For asset managers, they also have to ensure the same accuracy is applied to their own fee calculations. Automation can dramatically improve the efficiency of both process.

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