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How U.S. Xpress uses data mining for maintenance

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Updated May 30, 2017

Jeff Seibenhener, chief information officer of U.S. Xpress

Every desktop PC in the IT department at U.S. Xpress has the same wallpaper image of a high-tech truck with this slogan:

Technology and Business
Together we Deliver

“It is critical that you deliver these relationships and that you build strong relationships,” said Jeff Seibenhener, chief information officer of U.S. Xpress, during a breakout session at the CCJ Spring Symposium on Tuesday, May 23, in Ashville, N.C.

During the breakout, Seibenhener and Gerry Mead, senior vice president of fleet maintenance, discussed a project they worked on to apply business intelligence and data mining to create “one stop shop” reporting for U.S. Xpress’ fleet maintenance.

U.S. Xpress used the Microsoft BI stack to convert raw data from multiple systems to intelligent information that is delivered to users, in real time, through a web-based SharePoint interface. Users at all levels can “quickly understand if we are winning or losing,” Seibenhener said.

“We are driving that business efficiency and managing both equipment and people really fast,” Mead explained.