Case Study: Armstrong Transport Group saves 1,500 analyst hours and democratizes data with Boomi Data Integration

Armstrong Transport Group Saves 1,500 Analyst Hours and Democratizes Data With Boomi Data Integration

Armstrong Transport Group, a Charlotte-based logistics provider, needed to replace slow, manual data processes and expand access to business insights beyond finance and accounting. Using Boomi Data Integration, the company set out to modernize its data infrastructure, connect more systems, and reduce the burden on its data team.

Boomi helped Armstrong Transport Group connect to more than 37 data sources, migrate data to Snowflake, and automate pipeline creation with pre-built kits and serverless Python. The results were significant: data extraction and consolidation dropped from 10 hours to 8 minutes per cycle, saving about 1,500 analyst hours annually, and more than 300 employees gained self-service access to analytics.

Armstrong Transport Group