Although the word "big data" has only been eagerly acclaimed in recent years with the rapid development of the Internet and information industry, the history of its pursuit has existed some time ago. However, the concept of big data currently used in the automotive industry is just in the ascendant. Big data is While infiltrating the automotive industry, it also subverts many traditional management methods, operational thinking, and business models. Break the tradition and use data to create value The automotive industry belongs to the traditional manufacturing industry and is an important pillar industry of the national economy. Due to the automotive industry's long industrial chain, high relevance, wide employment, and strong consumer motivation, Big Data's application in the automotive industry will also be of great value. The strategic significance of the application of big data in the automotive industry lies not only in whether it grasps the huge automobile industry data information, but also in how to professionalize these meaningful car data, so as to achieve a smart decision. In the past, traditional data collection mainly comes from statistical yearbooks, industry management department data, related industry reports, industry expert opinions, and market surveys. These data often have defects such as insufficient sample size, time lag, and low accuracy. The amount is very limited, the application of information on the subjective judgment of the relatively large components, more prone to analysis errors, leading to decision-making mistakes. The current automobile industry is not only defined as a traditional industry, but also on this basis, through its own technological R&D, and through cross-border cooperation with Internet companies, it has gradually become a comprehensive operator with both automotive manufacturing and automotive services. change. In the ever-changing process of the automotive industry, the application of automotive big data is indispensable. Big Data helps car companies better understand the market and users Auto companies need to structure big data strategies, broaden the breadth and depth of research data in the automotive industry, and understand the market composition, market segmentation characteristics, consumer demand, consumer driving habits, and competitor status in the auto industry. The main method is to collect a large number of texts from professional social network platforms (such as Weibo, WeChat, and forums), various e-commerce platforms (including B2C, C2C, etc.), and media news platforms. Photographs, videos, and other information that can cover business information, personal information, industry information, product usage experience, product browsing records, commodity transaction records, product price dynamics, etc., these data can be formed through the clustering of the automotive industry big data What is hidden behind it is the market demand and competitive intelligence of the automotive industry. These data analyses have significant application value. 1. Helps to pinpoint the market positioning of companies. For entering or exploring a certain area of ​​the automotive market, you can understand and analyze the regional population, consumption level, consumption habits, market awareness of the product, the current market supply and demand situation, in order to ensure the positioning of the corporate brand market Accurate and unique, improve the industry's market acceptance of corporate brand positioning. 2. Helps develop products that meet market needs. Based on consumers’ attitudes towards faults in automotive products and their satisfaction or dissatisfaction with automotive products (including vehicle appeals, functional appeals, and parts appeals), these first-hand data are used as information for the product development stage to lead people in the next generation. The product or the optional accessories of existing products are reflected to make the product more competitive. In addition, it laid the foundation for the emergence of mass customization products in the automotive industry. Customizing automotive products will be an important profit factor in the future automotive ecosystem. 3. To help companies improve the marketing system. On the big platform, focusing on the opinions and concerns of potential car consumers or customers can involve economics, life, work, etc., collate and summarize topics that are of general interest to consumers, and choose the opportunity as an event marketing campaign for automotive products. Facts have proved that event marketing is an important marketing tool in the automotive industry. Entertainment programs, sporting events, and economic activities that are popular with audiences all create a good opportunity for the marketing of automotive products, and will produce the desired results. 4. Find new business growth points. Carry out in-depth feasibility analysis of potential customers and customer complaints and dissatisfaction of automotive products, which can not only improve existing products or services, but also can tap new business opportunities, or new service models, market segments, and business models. . Especially under the background that the sharing economy has begun to test water and is generally accepted by consumers, especially those born after the 85th generation, new business models emerge in an endless stream. Automobile companies can analyze the enthusiasm of car sharing based on this, and We will re-plan the operation of the automobile industry in the future, such as sales volume, car rental, and used cars, to capture business opportunities. It is even possible to tap the intrinsic relationship between the automobile and other industries, and to open up the market for the company's cross-border operations and diversification. Huiyue Automobile is a professional automotive big data integration operator. Through mining and analyzing the automotive industry content data and user behavior data, it comprehensively analyzes all aspects of the entire industrial chain, such as car building, car selling, car sales, and vehicle maintenance, to provide auto industry with car information. Management, automotive service evaluation, automotive product evaluation, automotive price monitoring, automotive customer insight, automotive sales leads, data reporting, and a range of products and services. Although the application of automotive big data has been surging in recent years, the exploration of its value is bound to continue, and the development of science and technology has gone ahead of the corresponding laws and regulations, but with the improvement of the corresponding laws and regulations and the recognition of the social environment. The application of big data for automobiles will surely completely overturn the entire automotive industry, and the research on big data on automobiles will also become more and more in-depth. KNB1-63 Miniature Circuit Breaker
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