11%ONLY

11%ONLY

20%ONLY

Where Do You Stand?

76% 71% 58% 71%

of organizations collect and analyze vehicle data to predict outcomes, but . . .

17%ONLY

of organizations can predict asset failures, determine their cause, and recommend the best maintenance plan, but . . .

of organizations can predict driver needs and deliver appropriate networked mobile services directly to vehicles, but . . .

of organizations have the ability to gain a complete view of their customers, but . . .

To learn more, visit us at http://spr.ly/DigitalAutomotive.

Studio SAP | 46516enUS (16/10) ©2016 SAP SE or an SAP affiliate company. All rights reserved.

Digital Readiness in the Automotive Industry

The digital economy is reshaping the automotive industry, from design and production to distribution and retail. Traditional manufacturers and suppliers must evolve and embrace new technologies and partners, because new players are entering the arena and competing for market share. After all, the digital economy offers opportunities for all companies to grow.

The question is: Where do you stand compared to the competition? What are other companies in your industry doing right now? Take the digital readiness assessment survey* to find out how your company measures up.

THE RESULTS

THE FUTURE

THE TRENDS

New challenges • Changing car-ownership profiles• Sustainability and zero emissions• Accident-free driving

New technologies • Connectivity through the Internet of Things• Self-driving vehicles• Electric and alternative- energy vehicles

New business models • Mobile services• Vehicle networks and predic- tive maintenance• Car sharing or fleet sharing

Digital data Connectivity Mobile services Customer behaviors

Is your company leading the way to the digital economy or falling behind? Benchmark yourself against your peers by taking our digital readiness assessment survey*. You’ll get a personalized report that shows where your business stands when it comes to digital transformation – and its future in the digital economy.

*All information provided is treated as confidential. Published results are expressed only in the aggregate.

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