Case Study: Howard Hughes achieves $300K annual savings with Boomi Data Integration

Howard Hughes Saves $300K Annually by Simplifying Data Engineering With Boomi Data Integration

Howard Hughes, a real estate developer managing communities across six regions, was struggling with a fragmented data stack and slow, costly ETL processes. Using Boomi Data Integration, the company wanted to simplify data engineering, reduce reliance on consultants, and improve data ingestion so its small in-house team could support better forecasting and financial automation.

Boomi unified Howard Hughes’ ingestion, transformation, and orchestration on one platform, replacing legacy tools and connecting systems like SQL Server, Snowflake, Chatham, and Blackline. The results were strong: ETL time dropped from 12 hours to under 40 minutes, annual savings reached $300K, Snowflake costs fell 83%, and the team added three new data sources while reducing overall data architecture costs by 60–70%.

Howard Hughes

Robert Dunlap

Data Architect