How Big Data Is Affecting the Automobile Industry

14 May

Big Data solutions have totally transformed the way technology connects with businesses.

On the other end, the automotive industry along with the manufacturing industry serves as a perfect host for Big Data development. As we talk about Big Data, we need to know that it represents the large chunk of data units (information units) that is collected over time through different procedures.

It can represent a series of outcomes to particular responses, a well-defined set of analytics, etc. Big Data can be in a structured form (in numerical form) where information is represented in a specific format and is easy to analyze and evaluate. With this, unstructured Big Data comes in various forms including media content, images, videos, gif files, numeric data, verbal content, audio files, etc.

In the various industries, this data is compiled, screened, evaluated and molded in certain algorithms based on Big Data. These algorithms are used to automate certain processes, make predictions, produce obvious responses, etc. This data combines with various other technologies like Internet of Things (IoT), machine learning algorithms, Artificial Intelligence (AI) and other cloud computing services to make its application more efficient in the automotive industry.

So, here we bring you some of the top ways in which Big Data is affecting the automobile industry:

1. Predictive Maintenance:

One of the most important areas of applications of Big Data in the automotive industry is predictive maintenance. Hand in hand with IoT (Internet of Things) Big Data is used to study a vehicle’s health over the course of its use in real-time. In predictive maintenance, the IoT technology uses the Big Data algorithm along with certain sensors, actuators, etc. to study the vehicle’s health in real-time and indicate the driver or the owner about the areas that need to be checked and maintained.

For eg. If a vehicle’s exhaust is not efficiently working, or one of its tires show low air pressure, brake fluid pressure, it indicates the driver or the owner a prediction that the specific part needs assistance so the maintenance manager can take a look at the situation or the driver and the owner could get these areas checked before there is sign of any damage or failure in some part. Predictive maintenance can automate the monthly maintenance procedures for good health of the vehicle, its longer life, and can be helpful in preventing emergencies due to some part failure.

2. Fleet Management:

When it comes to Big Data solutions for the Automotive industry is further gives rise to the technology of connected fleet management. Big Data technology combines with IoT to offer the application of automated fleet management. With the use of IoT applications, sensors, and Big Data algorithm, signals can be sent from one vehicle to another, and from vehicles to the fleet management devices. These signals can inform the manager about the various events such as the exact location of the vehicles, the health of the vehicles, the distance they have covered, the ideal time of not traveling, the accidental status, etc.

The fleet management manager can get all this information just from his connected smart device remotely. This information can be used to efficiently manage the fleet management projects, and increase the productivity of the work by cutting down various lags, prevent any emergencies or vehicle downtime losses, etc. Big Data not only supports the processes but keeps on collecting the data from each event for further evaluation and screening by data analysts.

3. The Application of Connected Cars:

Along with the use of Big Data algorithm, IoT applications, and cloud computing services, a professional custom software development company can help you build a model of connected cars. Though the concept of connected cars has not yet come live, once it comes alive, our cities wouldn’t look less than science fiction movies, where driverless cars manage the ride smoothly and efficiently without the risk of accidents as every car is connected with other vehicles, and send turn signals, etc.

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This could a wide use of Big Data solutions where the vehicles send signals to each other and move according to the responses from those signals, with this there would be radio beacons installed on the roads, etc. which would give the vehicle signals about the road structure in reading the time. The Big data algorithm will help in making these processes smoother and more efficiently managed and the day isn’t far when V2V connections will be replaced with V2I and V2X connections will be possible. This would also produce a lot of data chunks that can be analyzed by data analysts to make the science fiction type of road management possible. Where vehicles could turn without giving a turning signal, breaks are applied automatically and cars move in sync, with minimal chances of accidents.

4. Insurance Management and Repair Services:

Another important area of influence of Big Data applications in the automotive industry is with insurance management services. In this type of application, the IoT devices in connection with Big Data predictive data algorithms check the vehicle’s health in real time and indicates the owner whether the car needs an insurance renewal or cover, etc. With this, the information about the car health can help the owner check the areas where the car needs assistance and needs to be repaired.

This information also keeps the insurance companies and car repair service centers informed about your car health and they can connect with you based on this information. It is helpful for the car repair services and the insurance owners as they can market you their services in a personalized way, which could increase their customer base and hence their revenue.

The automotive industry is growing tremendously and with the inclusion of Big Data technologies you need to be very prompt with the adaption of these future technologies or you might miss the flight of future technologies. Therefore, you should discuss this with your technology partner or connect with a promising custom software development company that provides Big Data solutions for the automobile industry to get along with the rising trend and leverage the various benefits of Big Data applications.

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