How Hadoop Revolutionized Automotive Industry?

Do you have any idea that for 13\\% of car buyers a new vehicles without any access of internet is a no-go, I mean no-buy?

Yes, 13\\%, you heard it right. Although many companies aren’t aware of this, but in a few upcoming years, connected cars will be the major players and not the exception.

 

Such cars are just the dawn of an ever-deeper customization. Let’s talk about Original equipment manufacturers (OEM), which are now taking on the challenge of providing even more customized solutions that will improve customers’ driving experience and their expectations regarding warranty, lifecycle, mobility as well as best offers.

 

Here we are talking about data, a lot of data that has to be more accurate as well as precise.

 

However, let’s have a glance of the big picture first. If OEMs developed connected cars they get not just the benefit that their consumers will like the product, but they also get the opportunity to analyse even more data from the cars, specifically the telematics data.

 

Furthermore, consumers will have the certain benefits they are not even have any idea of it right now. For example, “Car-to-X” communication, which will offer a better future for vehicles on streets.

 

Cars will be capable of sending a warning message regarding the upcoming traffic jams, nearby accidents, black ice, etc. by analyzing real time data from the repository of all road users.

 

But, the challenge is- where, when and how these big amounts of data can be analysed?  The Deutsche Telekom forecasts that within a few couple of years, the data generated every month, per car will grow from 4MB to 5GB. At the same time, connected cars will show about 80\\% of all new cars sold by 2016 as per a study by Oliver Wyman- a leading management consulting organization. It said that there will be around 210 million connected cars running on highways & will be encountering some serious big data wave coming to the same direction.

 

For automobile industry, it really is important to sift the relevant information out of the big telematics data so as to get this data to a stage where it could be stored and merged with consumer insight, together with social media.

 

Start the engines!

Have you ever thought how Google is performing its job? Well, they have kind of all web in their database. How do they take on their big data? What can the automobile sector learn from their example?

 

The solution of Google is a database technology that has turned out to become opens-source named Hadoop. It’s easily available for everyone and easily scalable as well. Enabling technologies like Hadoop will provide the automotive sectors the ability to store as well as analyze bigger amounts of data in near future.

 

Theoretically, this solution could replace existing warehouse infrastructures; however, it’s more likely that Hadoop will work together with traditional data warehouses.

 

While Hadoop adds more power, you still call for a wheel and a navigation structure to reach your goals. After all we are talking about analytics here.

 

You have reached your goals!

With big data Hadoop your organization can easily store any sort of data at an affordable cost. This will solve your first problem, but be ready to face the next problem. Storing more data is one thing, but knowing what data will be the right one can be tricky.

 

This is where analytics come into play. Technologies such as stream processing can sift relevant data even inside the car, letting businesses to focus on the right data & cut off data amounts that need to be sent from the car into a Hadoop cluster.

 

Thinking beyond profits and efficiency, such methodologies can also provide health as well as safety benefits. There are immense opportunities to cut back life loss and injuries led by car accidents, owing to automotive operational faults by pre-analysing or detecting the occurrences of part failure in cars.

 

This will cut back customer repair costs owing to automotive component failures and definitely for truck/car fleets you can enhance future quality control over the fleet & hugely improve consumer satisfaction level. Businesses can do this with real time fault event forecast inside the vehicle.

 

Fault event forecast or prediction analyses historical event data for the identification of casualty to facilitate real-time failure prediction.

 

Why include Hadoop?

If you’re a senior executive in the automobile industry or want to become one, then to let you know the data from connected cars isn’t IT’s problem. With many opportunities included, this is your problem to solve, and for all your problems the only savior is Hadoop. 

 

And for sure, you need to get knowledge of what an easily accessible database can mean for your team, your company and you. Otherwise you’re leaving it for the management, the chance of innovation & the design of the transformation methodology to Information Technology. But they might have other things in their mind than developing solutions for the problems you & your team are going through. So learn Big Data Hadoop from one of the best Big Data Hadoop Training institute in Delhi and get ahead in your career.

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