Data Ownership and Privacy
Why this report matters to fleet managers:
A lack of ownership or access to the data that fleet vehicles generate is viewed as directly detrimental to secure operations.
Owners are concerned about the collection of their personal data and privacy rights.
The Internet-of-Things opens the potential for data misappropriation without user permission.
Automakers’ stake in controlling data has an estimated value of $750 billion by 2030.
According to the AAA, Americans spend up to 70 billion hours per year driving. It estimates that per week, individual drivers travel more than 220 miles, an average of 11,498 miles each year. During that time behind the wheel, vehicle computer systems are learning about your driving habits, less-than-safe driving inclinations, how fast and often you speed, how hard you are braking, plus more.
Innovating During Coronavirus
We are all living in a time warp as our collective confinement continues, but let us reminisce a moment back to Q1 2020. In January, California residents gained the right to wrestle back their user data from the tech platforms and other companies that had captured and exploited it. In February, Senator Josh Hawley posited that the FTC should take over Google, and Senator Amy Klobuchar introduced an antitrust modernization bill as a cudgel against big tech. The country was speeding toward a new era where the big technology companies would be reined in and privacy protections would soon sweep the nation. Instead weeks later, what nearly swept us under was a global pandemic.
We are looking for a way out and it is those same big tech companies we complained about that are helping us get through.
Predictive Analytics: Get the Most Out of Your Data and Your Vehicles
When it comes time to replace certain vehicles in your fleet, many organizations use mileage and/or months in-service to determine when to cycle their assets. This method, however, doesn’t take into account the great variation in vehicle usage that can occur across a fleet or how the vehicle may have been driven.
This is where predictive analytics and leveraging big data can give fleet managers a clearer picture of the condition of their vehicles by using a model that incorporates factors like maintenance history, driver behavior, age, and mileage.
NAFA Member Bob McElheney, CAFM®, Director, Vehicle and Equipment Services for the City of Newport News, Va., said his team bases many replacement decisions on a vehicle-by-vehicle basis by examining the type of asset and what it is used for.
Data Safety: How Do You Protect Your Fleet from Hackers?
Today’s increasingly connected vehicles provide a trove of data and insight, but that brings with it another worry, especially for law enforcement fleet professionals: the valuable data also might be of interest to criminals.
What about a terrorist attack response that is dramatically slowed down because police vehicles are remotely disabled, wherever they sit?
Officers are sitting in an undercover police car, staking out a drug kingpin. Out of nowhere, the car is surrounded by armed men, because the bad guys hacked into the police network to find out vehicle locations.
The Finer Points of Fleet Data
The fleet management industry has seen an evolution in recent years centered on information technology (IT) and vehicle data. With the advent of telematics devices and vehicle tracking systems, fleet managers are utilizing IT more than ever. The statistics provided by these tools can be used to reduce vehicle downtime, keep up with preventative maintenance, improve driver safety, make informed decisions when selecting new vehicles, and more.