c07-customer-stories

U.S. Xpress Enterprises, Inc.

U.S. Xpress is a leading time-definite truckload service provider. The Tennessee-based business operates a fleet of 6,000 tractors and more than 14,000 trailers, and employs 8,000 staff.

“Our chief operating officer recently said to me, ‘In my 20 years at U.S. Xpress, it’s the first time I've seen data being used the way it should be. IT has done a great job’. And that’s coming from someone who’s not the greatest fan of IT.”

—Tim Leonard, Vice President for Information Technology, U.S. Xpress Enterprises, Inc.

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Business Need

Reduce gas costs and increase operating margins.

Determine where thousands of company trucks had stopped, and for how long.

Reduce money wasted on engine idle time, inefficient use of trucks time and enhance customer service.

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Challenges

Location data derived from in-cab DriverTech system wasn’t being cleaned or presented in a standard way.

Without reliable data on truck location and idle time at the stopping point, it was impossible to report on vehicle movements and lower truck idle time.

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Solutions & Results

Saved $6 million annually in truck idle time using unified, reusable data quality environment.

Saved $1.2 million using data profiling to enhance truck maintenance system data quality.

Delivered return on investment in only three months.

Deployed in four and a half months with team who had previously been unfamiliar with Informatica data quality solutions.

EDW may save between $9 million and $20 million over two years.

Reduced emissions and supported the organization’s environmental commitments.

Solved business problems faster by empowering the business to participate in data quality processes.

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Technologies Used

Informatica Data Quality

Achieves pervasive data quality for all stakeholders, projects, applications using a single, unified platform.

Informatica Data Quality Identity Match Option

Enables building precise, multi-language identity data search-and-match functionality into data quality processes.

Informatica Data Explorer

Finds hidden risks, pinpoints structural issues, and stops quality problems from spreading in data.

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