The relevance of quality data for better insights in trucking operations

To begin with, the challenge of trucking fleets is to keep freight hauling competitive and constantly decrease operational costs. Like other industries, the use of data analytics is inevitable.

The move towards data analytics and machine learning does not only have the benefit of predicting maintenance needs and equipment failures but also improves truck safety.

However, it is important that the collected data is quality data. Furthermore, fleet managers should have an idea of what question they want to answer with their data before collecting. On top of that, a qualified analyst is needed to come to the right conclusions.

Despite, startup companies’ potential lack historical data, they can still look towards an outlier detection. It can help make correlations to potential problems.

Read more on how data can make a big difference for fleet managers on FreightWaves.