How data analytics software gives the auto industry an edge

To pull ahead of competitors, data scientists look to leverage data analytics software to transform raw data into meaningful information

Today, we see vehicles that are now capable of producing and collecting vast amounts of raw data for automated analytics. Most cars contain at least 50 sensors that are designed to collect detailed information such as speed, emissions, distance, resource usage, driving behaviour, and fuel consumption. When combined with a sophisticated data analytics software, data scientists and analysts are able to transform raw unfiltered data into meaningful information for application in the automotive industry.

The automobile industry has always been a hotbed of innovation and with big data coming into the picture, the disruption has increased significantly. Semi-autonomous cars have already made their way into the market and fully autonomous cars are next in line. It goes without saying that big data has had the biggest impact on the development of these autonomous vehicles.

With estimates from IHS Automotive stating that the average car will be producing almost 30 terabytes of data per day, it’s up to the automakers to decide how best they are going to exploit this data to achieve cost benefits and consolidate their market position.

With large volumes of data being produced now more than ever before, the automotive industry has become mostly data driven. Therefore, as an automobile manufacturer, big data analytics software will allow you to see the unseen, make smart decisions, and derive value from the vast amounts of data to maintain and potentially expand market position and profits.

Our latest blog explores a few ways that data analytics is changing the landscape of the automotive industry.

Big data analytics software empowering the Connected Car

If you own a vehicle that has internet and Wi-Fi, this will serve as an impetus that enables users to stay connected on the go. In fact, it is estimated that 90% of new cars will have connectivity setup by 2020, which will result in big data analytics solidifying its position as an important piece of technology that automotive manufacturers cannot afford to miss out on.

The features offered by these manufacturers for connected cars serve as evidence that it is, in fact, big data analytics software that is all set to spearhead the next generation of technology revolution within the Automobile Industry.

Designing and producing smarter vehicles

Car manufacturers are now using data science to improve driving experience by building smarter vehicles. The collection of fuel consumption and emissions data, for example, enables car manufacturers to reach aggressive fuel economy targets while remaining eco-friendly. If a vehicle is equipped with the proper sensors, mechanics can use predictive analytics to view potential issues before they become problems — a transmission system may be performing below average, indicating the need for early repair work and consequently negating the need for a costly replacement job.

Car manufacturers are even using data analysis tools in the design process by analysing performance-based metrics to determine the most aerodynamic design.

Vehicle Sales and Marketing

A major area where big data is being employed in this industry is customer retention through smart marketing and sales tactics. Automakers understand that trust and loyalty of their customers are of utmost importance and how personalised experiences always result in great numbers for manufacturers.

Hence, aftermarket services making use of data, like predictive maintenance and personalised services, are being integrated with big data analytics on which the automobile industry has now become heavily reliant.

Predictive analytics also accounts for real-time feedback from customers making use of historical data that helps improve services and offerings.

Data analytics software has taken to the F1 circuit

At the extreme end of data science analytics, we have the Formula One racing circuit. In today’s world, the analysis room of an F1 racing team is where high-speed racing meets big data. Racing cars are equipped with hundreds of sensors that provide thousands of data-points for metrics such as tire pressure, fuel burn efficiency, and acceleration & braking patterns when turning corners.

Racing teams often set-up their own private cloud to facilitate data transmission between an off-site analysis centre and the on-site racetrack. In 2015, racing teams at the Grand Prix collected over 243 TB of data, all of which was cleaned, formatted, and analysed off-site so that teams could make the appropriate changes on-site.

Key takeaways

Today, we stand on the cusp of automotive innovation, with electric and self-driving vehicles poised to completely change our world. Of course, big data has played a part in this shift, and will only become more important as automotive businesses use analytics for everything from optimising manufacturing to improving customer satisfaction.

Thanks to data-driven predictive analytics, AI, sophisticated data analytics software and other cutting-edge technologies automotive manufacturers are able to build the cars of today while at the same time envisaging and bringing to reality the cars of tomorrow.

For more information on how data analytics software aids in the supercharging of the automotive industry, visit our website.


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