Big Data in Maritime: How a shipping company can effectively use data
Key uses of big data in shipping and logistics: analytics for shipowners, data engineering, vessel performance and fleet situational management.
Prior to the advent of big data, organizations used traditional technologies to analyze large datasets collected from conventional sources such as warehouses, distribution nodes, etc. However, with the advent of big data, it has become easier to perform. Analytics not only consists of large data sets coming from traditional sources, but also takes into account and analyzes unconventional data in real-time nodes, as well as in batch mode.
There are several key uses of big data in the shipping and logistics industry. Thanks to the use of big data engineering, the shipping industry has grown even stronger over the past few years.
Big data is used to manage ship sensors and for predictive analysis, which is needed to prevent delays and improve the overall operational efficiency of the industry. In the shipping industry, proper cargo tracking is essential to ensure the necessary safety and confidentiality.
Through data obtained through proper tracking of shipments over several years, information on the causes of vessel losses at sea, losses of containers inside or outside terminals or warehouses, and other problems related to dispatch (for example, the reasons for damage to the goods) may be received. This big data for the shipping industry can be used to make decisions in the future to predict and avoid costly problems, and to create more reliable cargo delivery options.
Everyone agrees that big data can play an important role in ship design. Basically, this will be possible by analyzing the results obtained from the sensors of previously used vessels. Data collected and analyzed over the life of the vessel will be useful for future improvements in ship design. Previous datasets could help in testing the proposed ship design without physically developing it. This is a very big advantage for the shipbuilding industry.
As we move towards a more globalized economy, the demand for transportation of goods and related logistical support will continue to grow exponentially. Over time, this growth will increase the need for maximizing time and profitability to have the most profitable delivery processes. Through the use of advanced data processing techniques, delivery of goods will become more efficient. Improved transport services will increase overall international trade.