Telematics, Big Data, and Analytics are the three big important ways that are driving the auto industry forward. In this article, we will see how big data analytics, with the insights of information processing, can help transform the automotive and transportation industry globally.
The future of telematics is with big data.
Traditionally, in most automotive and transportation enterprises, specialized business processes have always been analyzed and modeled on whatever limited empirical data or contextual information was available to them. Proper data was few and far between. Or, even if the required data was available, enterprises hardly had any technological know-how with them to harness all the information necessary for their use. It was quite a difficult task to deal with such a situation where enterprises heavily relied upon conventional methods such as going through previous driving records, including taking into account people’s age and gender, locale demographics to accurately predict risk levels among its consumer base. This was something haphazard, awkward and unreliable.
Now with the advanced big data analytics, accessibility to scores of information and the science of telematics are putting the current understandings in new light, offering new conversation starters, and creating new potential outcomes that were not really possible before. “Big Data” as we know it is changing everything for the better. It is changing how the vehicles are built, how they work, how we use them and how they collaborate with everything else in this world: From vehicle-assembling to insurance underwriting, to traffic modeling to optimizing traffic routes, Big Data is changing the world of car/fleet transportation industry in a big way.
Big data analytics plays a very important role in the telematics field. The fact of the matter is that the science of telematics which involves telecommunications and vehicular technologies demonstrates how big data analytics can improve supply chain management, fleet management, increase yield and drastically reduce material costs, not to mention the quality and safety issues that never get compromised using proper big data analytics. In fact, the use of relevant data directly leads to more opportunities. It is in this context we will see how Big Data is bringing transformative elements into the various industry sectors especially in insurance, financial, automotive and transportation and other sectors and improve their business processes.
Telematics All The Way
Telematics is ushering an era of big changes. The way vehicles are insured and how they are driven or repaired are all changing for the better.
Earlier, we have seen that insurance and maintenance standards of vehicles were based on some kind of conjecture and the rough utilization of crude data that was available at hand. But with the use of telematics, a strong evidence of data is promptly accessible that can revamp entire branches of the commercial enterprises and change drivers’ driving behaviors.
Thanks to telematics, the wealth of data that can be derived from vehicles can also be made available to drivers. This is also one of the big changes that telematics promises. As far as valid data is concerned, there are simple ways people can immediately access from their connected car, and this same data can also be transmitted to the manufacturers or insurance companies for that matter. So when data is available and is accessible to users then there is going to be better understandings of their vehicles’ performance, ultimately resulting in helping drivers adopt good driving behavior. Drivers will have access to GPS-related data that will let them know their driving styles, including real-time information on fuel consumption, speed limits, hard acceleration, braking, phone distraction, etc. All this useful information can impact not only their driving performance but also can extend the longevity of their cars.
Driving Innovation and Continued Growth for Auto Insurance
To give you just one example: Consider the insurance industry. Using the great combination of telematics and big data analytics, insurance companies are able to enhance their business processes to an extent that was not possible before.
Basically, the insurance industry is based on analytics and probability. Therefore, to have a proper access to accurate and in-depth data that identifies with every customer’s lifestyle and risk always works in the best interest of the insurance industry. This is an area where telematics has been adding quite a lot of significant value propositions that matter greatly to both insurance companies and their paying clients alike.
With telematics and big data analytics, insurance companies don’t have to resort to guesswork to fix premiums for their customers. It has enabled insurers to reward policyholders, who display good driving conduct and check their vehicle health stats, with lower premiums and rebate offerings by taking the guesswork out of the equation. This is nothing but a big data approach to telematics insurance.