In general, fleet management aims to optimize the use of vehicles, reduce costs and environmental impact, and improve driver safety and customer service. Ultimately, good fleet management influences the competitiveness of the company.

Historically, fleet management is used to locate vehicles. In a supply chain context, it facilitates the tracking of goods. This allows indicating to a customer where his order is. This location can be operated in real time or deferred depending on the needs of the company. More Info On Big Data Training

Important technical issues

The specialists in this activity are therefore tackling this issue head-on and adapting their solutions to the demands of their customers. Fleet management platform publishers rely on the cloud, a strong integration of big data and analytics in real time. However, all these technologies require a high level of interoperability.

That's why publishers are turning to open source technologies. All that is needed is a Web server and a database management system (DBMS) to set them up as part of a GPLI solution that is, manage from the Web.
 
Otherwise, it is necessary to integrate the different APIs corresponding to the complementary tools. For this, it is necessary to standardize the data so that their integration into the system runs smoothly. In addition, the data itself must be comparable whether structured or not. Ecosystem openness is essential for successful "Big Data" transformation of fleet management tools.

Identify the right data

Then he has to help the fleet manager to choose his data. Telematics equipment, vehicles or any other sensor brings back an impressive amount of data. They are not all necessary to manage a fleet, for example, and for example, it is important to choose the one that will allow to transform and positively impact your business. This is called Smart Data. Get More Points On Big Data Certification

The other technical challenge faced by publishers and their customers is none other than the RGPD. End users must be made aware that some of their personal data, including vehicle insurance, is shared and processed with different subcontractors. Vendors of fleet management solutions must, therefore, ensure compliance with the European regulation on the protection of personal data.

Obviously, these constraints seem strong. For publishers, Big Data is a growth vector. It allows creating new opportunities, to open up to new sectors and consequently possible changes in the economic model. This may induce changes in the economic model. For example, a publisher can switch from a licensing model to service distribution in SaaS. Customers manage their budgets more easily, as well as the offers they offer to end-users.