Heavy Duty Trucking

DEC 2014

The Fleet Business Authority

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& 66 HDT • DECEMBER 2014 www.truckinginfo.com F or the sake of profit and loss, trucking operators have analyzed their busi- nesses since the first load was hauled for a fee. So you might think that terms such as business intelligence, analytics and big data are new wrappers for the same concept. Not so. When you consider the vast amount of data generated within a trucking operation, faster mobile communications networks, increased computing power and software tools for looking at the data, it becomes clear there is something different un- derneath those wrappers after all. senior manager product marketing, Omnitracs. "There are some logical groupings," he says, including behavioral (driver performance), vehicle-centric (various devices and sensors on the vehicle) and operational (collected within a company's enterprise systems). Plus, fleets can make use of what he terms administrative data. "We go into their human resource systems, look at driver histories and things that are not necessarily what we would call Where the data comes from Before a fleet can analyze big data, it has to collect it. There are a number of places that generate data — the vehicles, the trucking management and maintenance systems, accounting and human resources. In fact, most areas of a business can contribute data points, and data from outside the company can also be put to use in analytics. Data sources can be loosely cat- egorized, according to Jim Sassen, Big Trucking operations generate billions of pieces of information each day, and fleet managers are learning how to put it all to use. Jim Beach • Technology Editor & Data & a & Trucking Most areas of a business can contribute data points, and data from outside the company can also be put to use in analytics. PHOTO: ©ISTOCKPHOTO.COM/ANALYZER

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