How Automotive Manufacturers & Suppliers Use SAS®
- Derive new sources of revenue, make better decisions about your internal operations and discover inventive ways to better serve customers.
- Merge advanced streaming analytics with IoT data to make faster, better-informed decisions for and about connected vehicle and mobility strategies.
- Gain valuable insights by collecting customer data in real time, across every channel.
- Analyze the information and use it to improve responsiveness, make relevant offers, and use sales and marketing resources more efficiently.
- Access and aggregate credit data across disparate systems and resources to make well-informed lending decisions.
- Precisely forecast, measure, monitor and report on potential credit risk exposures to generate higher revenues, fewer delinquencies and an optimized risk portfolio.
Discover how manufacturing analytics powers the IoT for connected vehicles.
With connected vehicles generating more than 25GB of data every hour, analytics is essential for turning that data from insights into action.
Featured Customer
American Honda Motor Co., Inc.
American Honda uses SAS to improve warranty claims and forecast usage for parts and services.
Before SAS, it took one of our staff members one week out of each month to aggregate and report warranty data within Microsoft Excel spreadsheets. Now, with SAS, we populate those same reports on an easily accessible online dashboard automatically, and we recovered a week of manpower that we could put on other projects. Kendrick Kau Assistant Manager, Advanced Analytics Group
American Honda Facts & Figures
3x
faster claims analysis
<$$
reduced labor costs
1,200
dealerships nationwide
Other Automotive Manufacturers & Suppliers Working Smarter With SAS
Recommended Software for Automotive Manufacturers & Suppliers
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- SAS® Credit ScoringРазрабатывайте, оценивайте и отслеживайте риски более оперативно, экономично и гибко, чем позволяет любое стороннее решение.
- SAS® Solution for CECLQuickly meet new US Financial Accounting Standards Board current expected credit loss (CECL) standards with best practices for modeling, workflow and reporting.
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