It was the case for a long time that cloud solutions were simply unable to meet these standards.īut then the big data experts at Daimler learned about Azure Key Vault. “Safety first” and “The best or nothing” are mottoes that Daimler applies not only to the vehicles it develops but also to its data. The company therefore applies data protection and IT security standards that go above and beyond the legal provisions. The data processed by Daimler on the platform includes personal data as well as highly confidential business-critical data. A cloud solution is what we needed to implement an efficient and effective global rollout.”įor a long time, however, data protection and data security represented obstacles in the path of the company moving to the cloud. He adds, “It would have taken too long to implement and would also have been too costly. It would have been nothing more than a dead end”, says Guido Vetter. “An on-premise solution wouldn’t have offered sufficient flexibility. Increasing numbers of users wanted to access the platform to run analyses to identify logical connections in their business data. The platform that was developed in-house proved to be a resounding success. No cloud migration without data protection ![]() The algorithm then uses the log files from the current vehicle to determine the likely cause of the error. These are, in turn, derived from historical data on error patterns, which serve as a basis for an algorithm developed via big data analysis. As a result, technicians don’t need to spend so much time investigating the cause of the problem, as a computer provides them with targeted suggestions. A piece of software can use the log files generated by a car to predict which repairs will be necessary. Big data is useful in the after-sales area, for example, in order to reduce the amount of time vehicles have to spend in the repair shop. Guido Vetter, Head of Corporate Center of Excellence Advanced Analytics & Big Data and his team built up significant server capacities in their own data centre in Germany, which allowed them to develop their first data-based business applications based on a platform they developed in-house to meet the challenges they faced. In fact, Daimler took its first steps towards big data a number of years ago. As the company is active worldwide in a broad range of customer segments, the requirements and profiles of their customers are correspondingly diverse – a classic field of application for big data analyses. At the heart of Daimler’s efforts are the specific needs and desires of drivers and the continual improvement of product quality. The automotive industry has long since moved on from the mindset of “higher, faster, further” – in other words, more horsepower, more speed and more features. Daimler Financial Services offers financing, leasing, fleet management, insurance, financial investment funds and credit cards, as well as innovative mobility services. As the parent company of Mercedes-Benz Cars, Daimler Trucks, Mercedes-Benz Vans and Daimler Buses, Daimler is one of the largest providers of premium cars and the largest commercial vehicle manufacturer in the world. ![]() This solution allows them to keep the cryptographic keys entirely in their own control and to enable fast, worldwide access to their big data applications, which are in high demand across the entire corporation.ĭaimler AG is one of the world’s most successful automotive companies. Consequently, the task of cloud migration represented quite a challenge for the successful automotive corporation – that is, until those in charge learned about Azure Key Vault. Daimler AG’s requirements for data protection and data security go above and beyond the statutory provisions.
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