빅데이터 기반 해운ㆍ물류 정보시스템 개선방안

Big Data based Shipping and Logistics Information System Improvement: Focusing on the Adoption of Unstructured Data

The data opportunities of big data service finance are summarized into three main categories. The anomaly forecast scenario, the future scenario, and the current forecast scenario have reached that point, this scenario has not been successful, has not been completed, has reached this point. The higher management has it, and there is a possibility of success in systems thinking, marketing strategies, etc. Next, future scenarios will be able to cope when they are no longer able to cope. So far, more stages have been reached and even more levels have been reached. Domestic shipping companies have been implementing automation, remote control, real-time cargo management, and ship location tracking while maintaining the existing IT business system. Data sharing and accessibility are still poor, and there is a shortage of related experts. Although the domestic shipping industry is building an ICT system, it is maintaining the system of the past ERP level, which does not reflect current technological trends. In the shipping sector, the application of technology is delayed compared to onshore manufacturing facilities, and there is still a perception that the benefits or added value of the introduction of ICT technology in shipping are not of much help to the factors of increase in volume and shippers. The use of big data can be utilized as a decision-making and solution tool for users based on prediction and analysis of various scenarios. It is believed to enable the transformation of Accordingly, it will be possible to utilize big data in more diverse forms in the shipping and logistics field, and it is believed that unstructured data will play a major role in interpreting and explaining existing structured data.