Inconsistent data prevented ICON from accurately tracking cost variations and transit times across studies, couriers and countries. They found it hard to evaluate the relative performance of couriers. They also risked overpaying couriers if invoices contained errors.
The ICON Logistics team sought to normalize data from all ICON couriers. They wanted a single view of courier cost and performance across all locations. And they wanted all the information in a single data warehouse.