High quality data on thousands of trucks enabled U.S. Xpress to dramatically cut gas costs and truck idle time to become greener.
annually in truck idle time using unified, reusable data quality environment
using data profiling to enhance truck maintenance system data quality
Achieves pervasive data quality for all stakeholders, projects, applications using a single, unified platform.
Enables building precise, multi-language identity data search-and-match functionality into data quality processes.
Finds hidden risks, pinpoints structural issues, and stops quality problems from spreading in data.