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www.hg123bb.com Big data applications in automotive manufacturing

Big data applications in automotive manufacturing

Information source: HbdQjKWX

In the next 10 years, the automobile industry will truly enter the era of big data. First, the comprehensive data intelligence of the car itself, and at the level of automobile marketing, especially the behavioral data of car owners are most valued by car companies. Others include all posture operations and their daily behavior habits, and even seat usage habits will form corresponding data, as well as car-centric data, parts, vehicle conditions, maintenance, transportation, geographical location, etc. Information will form huge data and be mined and applied to generate value. The second is the assetization of automobile data. Big data can create huge value. Big data will become an effective asset for car companies and car dealers, so these data will bring benefits to car companies and car dealers and become them like other assets. The assets are applied to create more value. Furthermore, the automobile industry is intelligent, and people and cars can be connected and interacted. At the same time, big data in the automobile industry will promote the formation of a more intelligent automobile big data industry. Internet-based cars will build a large, multi-level automobile big data ecological business.

Take Ford as an example: At the beginning of the 21st century, after a century of development, a Ford car, like an old man, lost his vitality. During this difficult period, the company lost nearly half of its employees, lost money repeatedly, could not find a direction, and was in danger of going bankrupt.

The poor are thinking differently. Faced with the predicament in the quagmire, the management seems a little overwhelmed. They began to choose "help" Ford's data analysis experts to save the entire enterprise.

data source

Operational data: production, sales, and after-sales data.

Product development data: design, test and other parameter data.

Internet data: public opinion, browsing history and other data.

Car networking data: feedback data from built-in sensors of automobile parts, and data of automobile operation indicators.

Application effect:

1 Product precise positioning. By integrating Internet data and past design experience, the positioning of future products will be more accurate, and the risk of new cars going offline will be eliminated.

2 Design humanization. It is easier to pay attention to the design details that have been ignored in the past, making the car more suitable for user needs, in line with usage habits, and increasing brand effects.

3 Operational efficiency improved. Data resource integration reduces many unnecessary docking processes and greatly improves the company's operational efficiency.


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