Every time a wheel rotates over a sun-baked open highway or a crowded city street, a vast amount of data is being collected and stored. Every pothole that is run over, every time a driver drifts into the other lane when changing the radio station, every time they have to slam on their brakes; all these instances build up a picture of driver behavior and car performance. This is Big Data. The information that, if collected and analyzed correctly, can help transform the automotive industry. Movimento’s Big Data Services, including OTA habit collection, reflash logs offered by the Puma tool, and vehicular analytics offer invaluable insight to OEMs and engineering teams. By quantifying the strengths and weaknesses in the make and model of a vehicle, data collection empowers clients to direct resources toward the modules and design areas that are in most pressing need of technical refinement. With this knowledge base, development teams are able to use predictive analysis to identify fraud, improve each new version of the software, block security breaches, and manage vehicular lifecycle.
Seeing with Numbers: Visualizing the Future with Data Analysis
Data visualization can help identify strengths and weaknesses within a vehicle’s design and predict trends in user behavior. This insight creates a roadmap for how the industry can move forward and which steps to take toward a better future. We leverage our team’s unique and extensive background in the fields of data visualization, business operations, and automotive production. These overlapping perspectives give our team a more comprehensive and insightful approach to the purpose and methodology of data analytics than the perspective of any single field.
Points toward areas needing engineering refinement
Identifies areas of improvement in software design
Excels in quickly identifying and defending against potential security threats
Determines how to improve the personal experience of the end-user
Opens channels for growth and expansion of vehicular capabilities
As we move toward a future with driverless cars, big data can even empower your car to better understand travel habits and become integrated into the end-user’s lifestyle.
Opening a Street-Level Window for Engineers, Insurers, and Software Developers
Movimento’s data collection draws on both individual user data and geographic sample sets to give feedback about on-the-road behavior problems.
Individual Data for a Driver/Vehicle
At the individual level, we can gather social data on the driver, pre-sales of the car, post-sales, and suppliers. Shippers can use data at an individual level to identify ECUs. Insurers can use it to provide insurance rates based on driving behavior and recognize when certain ECUs are exhibiting high-risk patterns of behavior.
Amalgamated Data for Real-Time Problem Solving
In a larger data set, real-time monitoring reveals hardware and software issues, and recognizes when certain modules in a given geographic area are failing. With predictive analysis, this information could determine which cars consistently have problems and when consumers and OEMs need to take action or perform a recall. This data reveals not static, but dynamic patterns of behavior because of its real-time collection capabilities. Real-time data is a leap forward from collecting data from a demographic set and trying to develop a concrete, static deduction. The problems that our data looks to solve are constantly in flux and require a data collection method that can be just as flexible and instantaneous.
Set Your Sights High
Analytics gives you the perspective of a hiker at the top of a mountain, or a general overseeing his troops from a bluff above the valley. The perspective afforded by Big Data gives OEMs and Tier-1 suppliers the ability to see the big picture, and to analyze where they are going next. Movimento’s data collection services give cutting-edge thinkers the tools and the vision they need to drive the industry forward.