Driven by economic globalization, ports have become an important node for international connections. With the continuous improvement of port informatization, many ports at home and abroad are trying to apply related information technologies such as big data technology, cloud computing and Internet of Things to port production, the focus of data applications will shift from traditional data phone management to deep data mining applications. With data resources as the core, we will build a port information hub, provide multi-level, diversified boundary and refined services, realize the industrialization of information services, optimize the operation of each link of the port, deepen the relationship with customers, improve the production efficiency of port enterprises, and serve the port. It is of great significance to provide reference for business decision-making.


With the rapid development of port business, there are more and more systems related to port business, and data sources are more and more complex. There are problems such as inconsistent standards, weak specifications, and unsmooth data links between business systems, resulting in a large number of problems. data islands. The massive data accumulated by the port for many years of informatization is its most valuable asset. If the value of these data cannot be effectively utilized and exploited, the continuous informatization investment will directly become a sunk cost and become an increasingly heavy burden for port enterprises; Thanks to the long-term and rapid development of China's export-oriented economy, many ports in China have ranked among the world's leading ports in terms of cargo throughput. How to further improve port service level and service efficiency, and attract customers to seize the market share of the supply chain? In addition to the investment in hardware construction, the construction of smart ports cannot be delayed.


Core advantages description


DataFocus can be deployed as an independent big data system and link to the existing business systems of the port; it can also be used as the upper-level application of the existing port data warehouse and data center, and improve the efficiency of data analysis and exploration by using its convenient search function, or train dedicated AI algorithm models for specific scenarios to improve existing businesses.


There are various port big data solutions, but DataFocus is not positioned as a professional port big data solution. Rather, it is more inclined to be integrated with other port business systems as key technical components with outstanding functional advantages. As a highly flexible professional software product focusing on data analysis and algorithm integration, DataFocus can be easily integrated with various operation and maintenance software platforms.


N Port Group is a national key port and one of the leading ports in the world. After years of informatization construction, the port has formed a variety of relatively complete port business systems such as container and terminal business, data management, decision-making management and control integrated system, seaport dangerous goods safety management and control system, and CBOS4.0. With the accelerated process of port internationalization, the realization of intelligent, automated and unmanned port construction management, the use of Internet technology and big data thinking for port management has become an inevitable trend in the development of smart ports in the future.

By introducing DataFocus to speed up the data consolidation and sorting of the port business system, the Group has built a port big data warehouse, using DataFocus' search and analysis technology to continuously innovate and improve solutions, and integrate the actual production process of the port. Data is classified and processed, and data commonly used in business is visualized. For business links that affect efficiency, AI models are trained through DataFocus' algorithm integration platform, data analysis and mining are carried out, all links of port operations are optimized, and the relationship with customers is deepened. Further improve the performance of the enterprise. After the completion of port big data construction, more intelligent and efficient operation scheduling and production monitoring, more efficient logistics and warehousing utilization and planning, and personalized trade logistics services that are closer to customer needs are realized; operation, logistics, and trade service costs are reduced and efficiency is improved. and economic benefits, promote the construction of transaction logistics financial trade system, improve and enhance the internal operation performance and management level of the enterprise, and will provide various strategic decision-making support for port management in the future.
It is worth mentioning that in the process of building an information hub port, the group has collected data on various methods such as cargo transportation, warehousing and logistics, terminals, bank insurance, freight forwarding, customs and quarantine. A large amount of data is of great value after being sorted out and integrated. For example, some data on import and export of goods can be regarded as a barometer of the national economy, and some data on fluctuations in trade in goods are also very good information for a large number of foreign trade companies. They have created a variety of trade indices and provided data services through DataFocus' search-based analysis function. End users can quickly get started with data intelligence without rigorous training, successfully magnifying the value of the data.