How does Big Data technology work in the automotive industry?

Today's life has become much simpler since we apply Big Data technology. Not only the information technology industry, the car manufacturing industry also found its own way to apply Big Data technology.

   Join ISB to learn about how people today apply Big Data technology to a long-standing industry, which is considered the mainstay in developed countries and gradually spread to developing countries.

* Technology of mass production in line.

   In general, car companies face a lot of competition. Most of their revenue will be reduced due to today's fiercer competition when there are other impacting factors such as economic downturn, competition to access customers...

   A truly strong company in the automotive market must be able to control its own production lines and its distribution network.
Especially for the product distribution network, the application of Big Data technology becomes necessary because they help the whole system to operate smoothly. Indicators, calculations, market forecasts, and effectiveness of the strategy will help businesses adjust to their partners and agents.

   Big Data is processed to become the source of ideas for adjustments, innovations in price, component quality, and product reliability. Therefore, applying Big Data technology to automobile production also helps businesses become different from their competitors, increase profits and have a longer-term strategy.

* Connected cars.

   The experience of driving a car today is also very different from the past. Even many automobiles also develop devices such as telephone connections, internet, etc. to meet the needs of users. Today's sensor components are also used a lot for cars. Smart vehicles have become essential to people since the application of Big Data. Why?

   The experience of driving a car today is also very different from the past. Even many cars also develop devices such as phone connections, internet, etc. to meet the needs of users – Big Data technology application

   Car users want to stay connected with others while on the go, and seek a more complete driving experience. Therefore, Big Data is applied to create an autopilot system, save fuel, warn safety, indicate which option should be prioritized and record the operating status of the vehicle.

* GPS – positioning system is also a product of the application of Big Data technology.

   One study suggests that in the coming years, 90% of new cars will have connected components. Big Data analysis is an important part for businesses to develop that field.

   This can also be considered the "backbone" of all car technology and could be the beginning of a "revolution" in the driving experience.

* Financial problems of customers are useful to car manufacturers.

   Financial companies automatically centralize a lot of user information. This data source can help them understand users better but is often forgotten. The financial information of users will help car manufacturers have a more reasonable price structure according to the market.

* The statistics predict the trend of the market.

   A customer will only return to using a product if the supplier knows how to take care of them. To accurately predict the problem that Customers are facing, nothing is better than mining from Big Data.

   The company can find product defects and fix it based on customer data. The application of Big Data technology also includes making assumptions that may happen to vehicles as well as users to solve problems and create customer satisfaction as well as control quality. quantity of its products.

* Two examples of Big Data technology application in industry.

   The first example is about Maruti Suzuki, rated by customers on J.D Power as the number 1 car company for 14 years. Many people will wonder how a car company that is not so expensive and flashy in appearance like Suzuki has such a high level of appreciation.

   The answer lies in the way they apply Big Data technology in reaching customers, which they call a "Market to One" strategy.
More specifically, Market to One is the approach to Customers from the personal experiences that each Maruti Suzuki Customer provides or acknowledges. The more information there is, the more effective the campaign. The automaker's growth is 3% compared to the first 7 months of launch.

   At the helm is SAS, a software for advanced data analysis that taps 360 degrees of the experience of more than 10 million users.

   Another example is General Motors. This is the largest automobile manufacturer in the US, also a pioneer in applying Big Data technology to the automobile manufacturing industry.

   Today, there are many types of cars that have sensors and automated systems in the car. General Motors begins to have sensors and "telematic"technology telecommunications equipment very early. As a result, their products attract more Customers, resulting in superior sales and a more reliable product reputation.

   They consider "telematic" - technology telecommunications equipment system as a "gold mine" when users are concerned that they will save both money and time with these devices. Big Data and data analysis have accurately predicted the driver's needs when driving a vehicle and keeping in touch with someone via the Internet or an incoming call.

   Instead of the previous day, car manufacturers have a lot of "tests" on their products to meet market needs. Sometimes with luck, they will "win big". And of course, there is no shortage of "big" car manufacturers who also fail because of wrongly predicting customer needs.

   It's much easier these days to determine what Customers want, sometimes with just a few simple algorithms. Auto companies have saved and protected themselves better against the increasingly fierce market with the applications of Big Data.

   In short, the seemingly bleak auto manufacturing industry is now alive with the application of Big Data technology.

   Manufacturing companies reduce losses and respond to customer needs better than before by collecting data and exploiting them wisely.

   Moreover, the connection between automobile distribution systems also relies on Big Data to operate more scientifically.