Case study
A leading big-box retailer called upon Mastercard’s forecasting expertise to determine sales targets across strategic business units
Approcah:
Mastercard’s team of econometricians and data scientists developed 400+ forecasts across departments and channels. Driven by logical regressors, these forecasts were economically and statistically sound and easily explainable to non-expert audiences.
Result:
Mastercard’s models helped inform the retailer’s sales targets across several strategic business units, driving a 12x increase in forecasting accuracy.