Case Study: a Fortune 500 logistics service provider improves data lake adoption with Tiger Analytics

Fortune 500 Logistics Service Provider improves data lake adoption with Tiger Analytics

The client, a Fortune 500 logistics service provider, faced challenges with data lake adoption due to missing data dictionaries, poor lineage understanding, and performance issues with Databricks and Power BI. They engaged Tiger Analytics to help clean raw data and establish a standardized silver layer to enable easier data consumption for their analytics teams.

Tiger Analytics implemented a solution to clean data from the bronze layer and move it to a governed silver layer. This involved building a flexible, configurable framework to handle data inconsistencies and allow for future source additions. The work by Tiger Analytics established the necessary data foundation and governance processes, improving data lake adoption and enabling the client's data science and analytics teams to effectively pull and use reliable data.