Predictive analytics, according to G.P Singh, the CEO and founder of ByteCurve, is “the practice of extracting information from existing datasets to determine patterns, then update future outcomes and trends.”
Predictive analytics help identify possible crises and deal with them swiftly, while also analysing why a specific problem occurred. There are various databases at the disposal of the school bus industry, like cause for drivers leaving, surveys completed by drivers, annual appraisals of drivers, application modes for a driver’s job, drop rate of such applications, employee feedback on social media, etc., that are utilised to cast forecasts as well as deal with crises.
Why is it Important?
School districts, schools and contractors should compile various sets of data and analyse them to monitor current trends, possible setbacks as well as real-time information about their vehicles and drivers. As a result, various everyday problems faced by the student-commuters can be resolved, such as driver shortages, vehicle layoff periods, accidents, late-arrivals, and the process for giving feedback about such situations to management and school administration. Predictive analytics can also help aid in reducing bus accidents, improving service and reduction of management costs.
Addressing Safety Concerns
Safety concerns, for example, can be addressed by analysing data on what camera systems are in use, video sensors inside and out of the bus, the rate at which the drivers tend to accelerate, etc. This data can allow employers to train drivers, monitor the system and take swift action in case of any problems.
Building Reliability and Improving Quality
The school bus industry needs to inform solutions providers as a collective, to make the best use of predictive analytics. Information such as whether the pre-trip data of drivers are analysed, whether there is excessive wear of parts, whether drivers and attendants are trained to keep buses in good condition, etc. can help streamline the logistics.
The reliability of the vehicles is an important factor to be kept in mind while aiming to boost the reliability of the fleet as a whole. Tracking bus breakdowns and technical failures, monitoring the data on electrical systems, addressing maintenance issues promptly and training staff to do the same, play a huge role in improving the reliability of vehicles.
Bridging Information Gaps and Building Trust
There has been an increased involvement of predictive analytics in the school bus industry, and pertinent questions have been raised about how the data is collected and the safety of its storage, what is actually being done with the data and how can it be best utilised.
These are in fact issues that the industry is struggling with, however, with a multitude of software providers available, these can be solved. Gaps in information must be bridged by collecting all dashboard data, understanding it, and arranging it. Predictive analytics can then utilise this data to prevent any incidents.
A mutual understanding between contractors and schools is essential to have all data available on both ends and the issues of both parties are resolved, thus improving the quality of the school bus system as a whole.
Thus now you can stop feeling tensed about your child when the school bus is ten minutes late. You can simply open an app and find out the reason!