Case Study: RealTruck improves pipeline health and cuts compute costs with Masthead Data

RealTruck improves pipeline health by 35% with Masthead Data

RealTruck, a manufacturer of aftermarket truck accessories, faced challenges in managing its complex data platform built on Google BigQuery. With numerous data sources and pipelines, the company struggled with limited visibility into pipeline performance, difficulty controlling compute costs, and an inability to automatically identify data anomalies. These issues hindered data reliability for the business.

To overcome this, RealTruck implemented Masthead Data. The solution provided automated observability for pipeline performance, large-scale anomaly detection, and granular cost control insights. As a result, Masthead helped RealTruck improve its data pipeline health by 35% and reduce compute resource consumption by 10% by identifying and eliminating expired assets and orphaned processes.

RealTruck