Big Data, also known as macrodata, refers to massive or large-scale data that is difficult to capture, manage, or process due to its volume, complexity, or rate of growth. However, because of its high potential, an increasing number of organizations are working with this type of data.
The use of Big Data in businesses is currently an unstoppable trend, and the transportation sector is no exception. Although it is true that it is still in its early stages and that many businesses are not using it on a daily basis.
We have discussed automation in the logistics sector, the phenomenon of capillarity, and trends in container land transport in Indochinapost… The emergence of Big Data is a phenomenon that we are also considering as a key to the future.
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What is the significance of Big Data?
Analysis assists businesses and organizations in leveraging their data and identifying new opportunities. It serves as a point of reference for internal organizational improvements, such as working on cost reduction or the development of new products or services.
The use of macro data in transport
Some of the benefits of incorporating Big Data into the sector’s daily operations are as follows:
- Assist with route planning and traffic control. Analytics is the ideal way to plan routes that avoid traffic congestion as much as possible while giving you complete control over routes and times.
- Cost-cutting and cost-optimization The collection of data on the fleet allows for not only greater control over the information, but also for it to be more relevant. Decisions are easier to make from there.
- Driving habits such as braking, speeding, driving time, and so on are examined. With this information, you can take the necessary steps to improve your driving style and save money on fuel or maintenance.
- Environmental impact has been reduced. Nowadays, an increasing number of businesses are attempting to control and develop strategies aimed at reducing their “environmental footprint.” These measures will be far more effective if they are developed using data extracted from the company’s day-to-day operations.
- Sales and marketing. Big data is increasingly being used for advanced consumer segmentation, automating product customization, adapting communications during the sales cycle, and capturing new sales opportunities.
Risks of Big Data
However, some limitations in obtaining or applying these macro data have already been identified:
- Intrinsic difficulty stemming from the enormity of the data to be collected or processed.
- Increased fraud risk in an environment where cybersecurity is not always used.
- Privacy and legal issues have been reduced. Certain data may be leaked, resulting in severe consequences such as brand discredit and even legal ramifications for the company.
