How To Manage One Million Vehicles With Big Data
Automotive Resources International has a big data challenge as the largest privately held vehicle fleet manager in the world. ARI has 860,000 vehicles under direct management and another 1.8 million being managed by partners and affiliates. At the top end of its client list are customers who have tens of thousands of trucks and other vehicles that must be operated and maintained safely and inexpensively. But ARI Fleet has scores of other clients in the railroad, logistics, utility and other industries for whom it runs fleets of vehicles numbering anywhere from 500 to 10,000. It has to buy them, modify them, train drivers, perform compliance and reporting, handle scheduling, operations, fuel management, maintenance and eventually sell the vehicles when they are no longer needed.
Steve Haindl, the company’s chief information officer, says that the processes involved in all of this work both consumes and produces an ocean of data. In the last five years, he says, the impact of the data has grown dramatically. He and his team have worked hard to figure out how better application of all this data can make existing processes more efficient and open the door to new ways of working, new products and new services.
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