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SAP to Cooperate With China on Intelligent Transportation Systems Powered by SAP HANA

Executive Board Member Gerd Oswald and Chinese Premier Li Keqiang Plan Cooperative Research for Intelligent Traffic Management and Future of Public Transportation in China

BERLIN - SAP AG (NYSE: SAP) plans to enter into a strategic cooperation with the Chinese government on the development of intelligent transportation systems to help manage traffic in China’s fast-growing urban areas over the coming decades. SAP and the Chinese High-Way Group plan to enter into broad collaboration for research on integrated solutions for transportation communications and the development of intelligent traffic management systems leveraging advanced software solutions from SAP for big data powered by the SAP HANA platform, cloud computing and mobile computing. Gerd Oswald, member of the Executive Board of SAP AG, agreed to further evaluate a respective collaboration in Berlin with China’s Premier Li Keqiang during his visit to Germany.

“Urbanization is one of the biggest challenges for China with more than 400 million people expected to be added to China’s urban population by 2025,” said Oswald. “The intelligent management of public transportation is critical for sustainable economic growth and the long-term socioeconomic development in China. We are very delighted about our strategic collaboration plans with the Chinese government on a broad scale to develop intelligent transportation systems to help make the world run better and improve people’s lives. The collaboration should help China manage its next phase of sustained growth with the help of advanced technology from SAP for big data analysis and predictive analytics, mobile computing and cloud-based solutions.”

China’s total investment into intelligent transportation systems has grown continuously to more than EUR 500 million annually. The amount of transportation data generated through metro, buses, taxis and traffic cameras, among others, is tremendous. The existing IT environment lacks the ability for predictive and advanced data analysis to proactively manage different traffic and transportation scenarios to provide better services to China’s citizens and help better urban planning. SAP has a long-standing experience in managing the analysis of large volume and is leading in the industry with SAP HANA in real-time analytics as well as the transactional processes in nearly all adjacent fields. SAP plans to closely collaborate with the China Ministry of Transport (MoT) and may bring together the comprehensive domain expertise for traffic, logistics and transportation of the MoT as well as cutting-edge research and technology for intelligent transportation.

SAP in China
SAP established its first Chinese customer in 1991 and opened its first local office in 1995 in Beijing. Today, SAP China has approximately 4,000 employees across 13 offices with major locations in Beijing, Shanghai, Dalian, Chengdu, Xi’an, Guangzhou and Nanjing. SAP serves around 6,000 customers in China representing over 50 percent of China Top 100 enterprises. More than 200 Chinese partners support the local activities. SAP also is collaborating with 48 universities on projects through the SAP® University Alliances program and is educating more than 6,000 students every year in an education foundation program. To benefit from the tremendous potential in China, in 2011 SAP announced its plans for growth in China, investing US $2 billion to expand activities tailored to Chinese market requirements.

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About SAP
As market leader in enterprise application software, SAP (NYSE: SAP) helps companies of all sizes and industries run better. From back office to boardroom, warehouse to storefront, desktop to mobile device – SAP empowers people and organizations to work together more efficiently and use business insight more effectively to stay ahead of the competition. SAP applications and services enable more than 238,000 customers to operate profitably, adapt continuously, and grow sustainably. For more information, visit www.sap.com.

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