Data Foundation Implementation for 3PL Company

This case study outlines the implementation of a connected Data Foundation by Tiger Analytics for a leading North American third-party logistics (3PL) company. The objective was to enhance data quality, improve governance, and streamline daily operations. The existing legacy Data Warehouse posed challenges, including limited production access and frequent performance drops due to ineffective data streamlining and manual processes. The solution involved the development of a Data Foundation Layer that utilized Advanced Analytics and included a Freight Analytics Tool. This implementation led to a 2.5% increase in gross margins and a 25% reduction in manual efforts. The case study details the significant improvements in operational efficiency and performance, including an 85% reduction in XML parsing processing time through a parallel processing framework. Overall, the project aimed to create a more seamless and error-resistant operational environment for the client.