Science and Tech

Data management is shaping transportation

The development of e-commerce keeps on helping reach expectations regarding speed, agility and visibility. Transportation and warehousing vendors have been required to develop quickly in order to keep up with increasingly high service level requirements from manufacturers, retailers and users.

This post is going to let you know how you can advance your transportation management program by paying attention to using data, which is extracted from technology usage such as a transportation management system by which people can improve constantly.

 The use of data to set up a successful transportation management program

Nowadays, business practices have been synonymous thanks to the application of data and collecting it for regular improvement. Nevertheless, high amount of today data is not used properly, which leads to losing chances for the companies. Unluckily, data does not have the value if it is not managed, cleansed, transformed and applied in a right manner. What is more, some data may also be of minimal use without comparison to and defining trends and collaborations between data from other transactions in a warehouse or a transportation system.

In order to survive in a complicated world driven by data, entrepreneurs should be willing to adopt new Big Data solutions to make sure that all data is aggregated, analyzed and stored in a suitable way. Businesses are often not able to answer questions regarding the arrangement of their data. You should have a look at how your company can make use of technology, metrics or services to develop transportation processes.

Origination of data

Data comes from one of two main resources, individual sensors collecting data or manual entry of data. Both entries of data may lead to chances for errors, especially regarding the human element of manual entry of data. In an automatic data collection, which is done by the Internet of Things via radio frequency identification chips or other automatic data capture, data is aggregated from a wide variety of sources. Nevertheless, this data is useless. It is up to using metrics and algorithms properly to start the process of breaking down the data for use so that you can improve your transportation management program.

On the other hand, manual entry of data is often associated with the risk of wrong data transcription. Unluckily, the mistake may not be the result of the technician or the engineer. If the data was delivered wrongly, or if it did not come with any value in the organization, the data entry seems to be useless. As a consequence, worthless data will start to take space in the system then negatively influence the whole operation. For any situations of manual data entry, the data should be checked carefully for accuracy and necessity. In current transportation systems driven by data, data entry should be an automatic process. Nevertheless, there are always exceptions to the predefined rules. This is the reason why metrics plays an important part for data monitoring and analysis.


Parameters may be the reflection of the personal data capture points. Nevertheless, metrics can also be used for the algorithmic analysis of data to define what data needs to be eliminated, clarified or analyzed.

An example of data gathering and metrics in logistics and transportation management program processes

For instance, incoming shipment may be put on ice because of weather conditions. Data comes from in the truck’s GPS to relay information about that delay to the corresponding destination. The warehouse or distribution center will then change services in order reflect the shift in loading or unloading schedules. This data will then be saved in a particular location to start the analytics’ process. After that, the data will point the issues coming from the distribution center, which was the cause of that delay. The delay was actually caused by the truck’s encounter with the inclement weather. As a result, the destination center may adopt measures for the originating center to avoid that problem from taking place in the upcoming time. After all, the whole process would be more effective thanks to the collection, analysis and actionable qualities of data.

From this example, you may suppose that the aspect of metrics was ignored. Nevertheless, metrics is the data given to the company from analyzing data. In this example, the metric pointed out a consistent delay at the originating center, which was right. Nevertheless, metrics may be utilized as the main performance indicators to control the location’s activities.

 Data management and transportation services

No matter what technology is implemented, the human factor of developing your transportation management program must be here. Clients may need to discuss with customer service representatives and some orders may arrive in person. Nevertheless, this does not mean that automated processes or metrics or analysis will be removed from these transactions.

Nowadays, transportation vendors should learn the value in big data analytics’ services. These services are the starting point of developing effectiveness throughout the whole transportation network.

In spite of the fact that historical data can be used in making decisions, real-time feedback allows decisions to be made by current actions. By this method, such questions as what if this happens when I do this or that will be removed.

As a company or transportation business makes use of these services, the organization will witness a development in profit via less overhead cost and more effectiveness in workforce. Thus, more clients will feel satisfied with the organization’s services, which will control demand for the transport company’s service.

As you can see, the world of transportation data management is now developing and those systems should meet the need of the complicate events of daily life and business practices. By taking advantage of data in an effective accurate manner, a company can develop more than just expectations while offering high-quality services at more reasonable rates. Via using metrics, people as well as services, today’s shipper will earn the rewards of an investment into high technology and big data management keeps on improving the transportation management program.

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