Data Analysis Plays a Huge Role in Converting the Automotive Industry

In 2006, British mathematician and entrepreneur Clive Humby argued that data is the new oil. Humby means that data is as valuable as oil and data, like oil, will drive future business. Since a lot of data is collected online from users and stakeholders to analyze their usage patterns, likes, and dislikes, the analysis only helps companies sell better and create better products for their customers.

The automotive industry is growing 

The automotive industry has also changed dramatically with the help of data analytics and big data. Car manufacturers use predictive analytics and telematics and use a lot of valuable data collected from various automotive sensors. Manufacturers do this to monitor car problems so they can fix quality issues. Big Data analytics has changed the automotive industry, helping make cars safer and smarter than ever, while improving new car sales.

One of the most impactful areas of analysis in the retail space and how cars are sold. Many car manufacturers have already created virtual and digital showrooms that help potential buyers buy a car without visiting the local dealership. These sites even allow you to customize, configure and build the car the way you want, without the involvement of dealers.

This retail model, where buyers can customize their cars and shop online, has only helped automakers better understand their buyers’ needs and choices. For example, Audi partnered with Adobe to create a website that offers much more than just information about the company and products. The site is now an interactive platform for Audi buyers, fans, and enthusiasts that provides buying advice, news, current, and future models, promotional opportunities and activities, and helps them choose, build and buy a new car.

Modern cars are complicated machines and data analysis plays an important role in making these complex devices extremely robust and reliable. The cars are equipped with various sensors and loggers that constantly measure and measure speed, fuel consumption, braking times, turning modes, engine performance, etc. The collected data is sent to the manufacturer, cleaned, and the car’s behavior under different driving conditions and styles is analyzed. These standards are used by car manufacturers to develop predictive maintenance systems that notify the car owner of breakdowns, fluid levels, maintenance schedules, etc.

The car’s diagnostic systems record every little detail, from fluid pressure to the effects of the car’s aerodynamics, everything is measured and recorded. Formula 1 teams ingest around 250 terabytes of data each race week, which is sent to scientists and engineers with data on the pit walls and at the factory, where they clean the car, analyze and suggest necessary changes.

General Motors has developed an advanced network of coupled engines using computer technologies and applications. GM calls this technology OnStar, which connects about 12 million vehicles to the company and records statistics about the vehicle they use for predictive and prescriptive maintenance, product and component development, and event planning marketing strategies. GM’s OnStar Connected Car technology also allows owners to locate and locate their vehicles and remotely lock and unlock the car using a smartphone app.

Big data is rapidly changing the future of the automotive industry

Some major changes are revolutionizing the automotive industry. Big data technology plays a key role in this. Car manufacturers will continue to invest in data analytics for the foreseeable future.

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