With the analytics solution, our client is raising the driver experience of his customers to a new level and is gaining valuable insights for the development of future vehicle generations.
Xu Zhao, Account Manager, T-Systems China
Connected car – that doesn‘t just mean connectivity. It is also big data: operating sensors in the cars continuously record and store operating data. Every day, immense amounts of data from various sources and in different formats are generated in the backend. For the respective OEM this connected vehicle backend is operated by T-Systems in a private cloud in China. The evaluation of this data is of great interest for the brand in order to offer its customers excellent service (including new in-car offers), increased driving safety and an excellent driver experience. However, the evaluation of data from various sources is a field with its very own specific challenges. This not only includes the preparation of the data, but also the ability to provide actionable business insights based on the analyses.
Since T-Systems not only operates the connected car backend, but also has great big data expertise, the automotive manufacturer commissioned the IT service provider to develop the analytics solution. The extensive infrastructure resources for modeling the solution and machine learning come from the Huawei Cloud.
Within a few days, T-Systems established an agile team and delivered the solution for the department as a web service by the end of April. The business department units can access the service via browser. The six-week project during the coronavirus pandemic included a final two-week user acceptance test. First, the T-Systems team extracted the relevant data from the connected vehicle backend in T-Systems‘ private cloud. The data was largely structured and also had a similar data format. Nevertheless, the data records had to be cleaned up prior to transfer (via rvs, the computer system from T-Systems) to the public cloud. The team led by project manager Xiaojie Weng transferred the cleaned data sets to the Huawei Cloud in order to use the capacities there for the rapid development of the analysis service. Among other things, the Hadoop PaaS provided in the public cloud was used by the team. The team also set up the web frontend, which the OEM‘s employees can use to access the anonymous data analysis via a web browser.
To prepare for the future, companies require four cornerstones: connectivity, cloud and IT infrastructure, security, and digitalization T-Systems provides businesses with end-to-end support for implementing big data projects. Learn more about T-Systems’ integrated approach.