Variety of system data: The car company has formed different business teams for various car series and models, and the digital foundation of different models is not the same, making the sales volume, satisfaction, and operational stability data of different models key to the company's improvement.
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High difficulty in problem location: The business centers of the car company are independent, with numerous applications and complex cascading relationships, large system requests, and scattered deployment, making it difficult to quickly locate problems when they arise.
Digital China, in combination with the actual business situation of the large car company, has helped the car company build a connected vehicle platform on the cloud using a public cloud + private cloud approach, achieving unified collection and management of vehicle and user information. It can collect application logs in real-time, perform real-time ETL analysis, and monitor the operation and performance status in real-time, quickly locate the cause of the fault, provide technical support to the corresponding team, shorten waiting time, and effectively improve satisfaction.
Continuous collection, analysis, and monitoring of data greatly shorten the cycle of fault troubleshooting and recovery, improve customer satisfaction, and maintain the emotional connection between car owners and the brand.
Data that was previously scattered in different business centers is managed uniformly, allowing for more dimensional data analysis and mining.
The cloud approach solves the problem of scattered deployment in different business centers, making cloud development more agile and providing stable and sufficient computing power support.
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