Driving ARI Fleet Management with Real-Time Analytics

Automotive Resources International®, better known as simply ARI®, is the world's largest privately held company for vehicle fleet management services. ARI is headquartered in Mt. Laurel, New Jersey, and has 2,500 employees and offices throughout North America, Europe, the United Kingdom, and Hong Kong. The company manages more than one million vehicles in the United States, Canada, Mexico, Puerto Rico, and Europe. Businesses that need vehicles for shipments (trucks, vans, cars, ships, and rail cars) may choose to manage their own fleet of vehicles, or they may outsource fleet management to companies such as ARI, which specialize in these services. ARI manages the entire life cycle and operation of a fleet of vehicles for its customers, from upfront specification and acquisition through resale, including financing, maintenance, fuel management, and risk management services such as driver safety training and accident management. ARI also maintains six call centers in North America that operate around the clock 365 days a year to support customers' fleet operations by providing assistance regarding repairs, breakdowns, accident response, preventive maintenance, and other driver needs. These call centers handle about 3.5 million calls per year from customers, drivers, and suppliers who expect access to real-time actionable information. Operating a single large commercial vehicle fleet generates high volumes of complex data such as data on fuel consumption, maintenance, licensing, and compliance. A fuel transaction, for example, requires data on state taxes paid, fuel grade, total sale, amount sold, and time and place of purchase. A simple brake job and preventive maintenance checkup generates dozens of records for each component that is serviced. Each part and service performed on a vehicle is tracked using American Trucking Association codes. ARI collects and analyzes more than 14,000 pieces of data per vehicle. Multiply the data by hundreds of fleets, some with up to 10,000 vehicles, all operating simultaneously throughout the globe, and you'll have an idea of the enormous volume of data ARI needs to manage, both for itself and for its customers. ARI provided its customers with detailed information about their fleet operations, but the type of information it could deliver was very limited. For example, ARI could generate detailed reports on line-item expenditures, vehicle purchases, maintenance records, and other operational information presented as simple spreadsheets, charts, or graphs, but it was not possible to analyze all the data to spot trends and make recommendations. ARI could analyze data customer by customer, but it couldn't aggregate data across its entire customer base. For instance, if ARI was managing a pharmaceutical company's vehicle fleet, its information systems could not benchmark that fleet's performance against others in the industry. To create reports, ARI had to go through internal subject matter experts in various aspects of fleet operations, who were called reporting power users. A request for a report would take five days to fill. If the report was unsatisfactory, it would go back to the report writer to make changes. ARI's process for analyzing its data was extremely drawn out. In mid-2011, ARI implemented SAP BusinessObjects Explorer to give customers the capability to access data and run their own reports. SAP BusinessObjects Explorer enables business users to view, sort, and analyze business intelligence data. Users search through data sources by using an iTunes-like interface. They do not have to create queries to search the data, and results are shown with a chart that indicates the best information match. The graphical representation of results changes as the user asks further questions of the data. In early 2012, ARI integrated SAP BusinessObjects Explorer with HANA, SAP's in-memory computing platform that is deployable as an onpremise appliance (hardware and software) or in the cloud. HANA is optimized for performing real-time analytics and handling very high volumes of operational and transactional data in real time. HANA's in-memory analytics queries data stored in random access memory (RAM) instead of on a hard disk or flash storage. Now, when ARI's controller wants an impact analysis of the company's top 10 customers, SAP HANA produces the result in 3 to 3½ seconds. In ARI's old systems environment, this task would have been assigned to a power user versed in using reporting tools, specifications would have to be drawn up, and a program designed for that specific query, a process that would have taken about 36 hours. Using HANA, ARI can quickly mine its vast data resources and generate predictions based on the results. For example, the company can produce precise figures on what it costs to operate a fleet of a certain size over a particular route across specific industries during a certain type of weather and predict the impact of changes in any of these variables. It can do so nearly as easily as providing customers with a simple history of their expenditures on fuel. Such information helps ARI customers achieve greater operational efficiencies and lower costs. HANA has also reduced by 5 percent the time required for each transaction ARI's call centers handle-from the time a call center staffer takes a call to retrieving and delivering the requested information. Because call center staff account for 40 percent of ARI's direct overhead, that time reduction translates into major cost savings. ARI plans to make some of these real-time reporting and analytic capabilities available on mobile devices, which will enable customers to approve a variety of operational procedures instantly, such as authorizing maintenance repairs. Customers will also be able to use the mobile tools for instant insight into their fleet operations, down to a level of detail such as a specific vehicle's tire history.

Case Study Question

1. Why was data management so problematic at ARI?

2. Describe ARI's earlier capabilities for data analysis and reporting and their impact on the business.

3. Was SAP HANA a good solution for ARI? Why or why not?

4. Describe the changes in how ARI and its customers ran their businesses as a result of adopting HANA.

5. Describe two decisions that were improved by adopting HANA.