Deep integration of big data and supply chain. Driven by Internet technology, the enterprise industrial model is constantly updated. In the Internet age, everything you choose is big data. If a company or other people don't combine big data, it means that you will be eliminated. It can be said that whoever seizes the opportunity first. The following is about the deep integration of big data and supply chain.
Deep integration of big data and supply chain 1 Big data technology makes full use of massive data resources and accelerates information sharing. The application of big data technology will lead the reform of supply chain finance and change the practical problems such as imperfect basic data of supply chain finance and unsmooth information circulation. Big data technology makes the supply chain financial risk control model data and dynamic, and realizes the multi-level risk control effect of real-time risk warning.
Application of big data technology in supply chain finance;
(1) Match the needs of users and design personalized financial services. Big data technology can match a variety of data sources through data mining, accurately grasp the needs of small and medium-sized enterprises in combination with the development trend of the industry, turn the information that enterprises are looking for into the information that they are actively looking for, and design various personalized supply chain financial services for small and medium-sized enterprises.
(2) Improve transaction credit reporting and reduce information asymmetry. Under the application mode of big data, the transaction data based on credit information and automatic lending mainly rely on dynamic and sustainable financial data sources, which can effectively improve the quality of credit information service and reduce information asymmetry.
(3) Realize quantitative credit granting and accurately control risks. Relying on big data technology, enterprise credit can be desensitized by combining models with dynamic data sources, industry data and exogenous data to obtain market analysis and price fluctuation analysis, so as to realize real-time monitoring, grading early warning, quantitative credit granting and accurately control risks.
(4) Establish a database of credit entities and improve data interaction. The big data application mode establishes a comprehensive database of credit subjects through the transaction gateway data mode, obtains the cross data of SMEs from the cloud, intelligently matches the ERP system for the purchase, sale and storage of SMEs, systematically prevents and controls financial risks, and effectively alleviates the financing problems of SMEs.
(5) Refine multidimensional data sources to assist reference decision-making. Big data technology can refine the personal data information of senior executives of credit entities and assist decision-making, which has reference value.
(six) to judge the expected transaction volume and accurately allocate channels. After establishing a perfect omni-directional three-dimensional database for credit granting entities, combined with industry data sources, through the corresponding analysis model, we can predict the mutual influence of data in the corresponding supply chain, judge the expected transaction volume, judge the distribution volume of channels and markets, realize the opening of circulation and consumption, and finally improve the efficiency of supply chain management.
(7) Optimize risk control technology to realize efficient automation. Big data technology, from the collection of enterprise data by robot terminals to data cleaning and data sorting and analysis, is all completed by computers.
It can be seen that in the current financial industry, big data and supply chain finance belong to a mutually bound development model. Through the combination of the two, the financial risk is controlled to a minimum and the efficiency of supply chain management is improved.
In addition, for corporate executives, the combination of big data and supply chain finance helps managers and investors stand at the top of the data, grasp the wind vane of capital flow, and seize the opportunities in the unpredictable shopping malls.
Brief introduction of deep integration of big data and supply chain
Today's era is an information age. In our daily life, data are generated all the time. These data contain a lot of personal information, which is very extensive and has obvious timeliness.
According to Wikipedia's explanation of big data, big data is a collection of data that cannot be collected, managed and processed by conventional software tools within an affordable time range.
Because the data is extremely huge, it is inevitable that it cannot be processed by computers alone, and it must rely on the distributed processing of cloud computing to collect big data. Big data is mainly reflected in the processing and utilization of huge data, so as to get some desired information to reflect the commercial value and social value of big data.
With the continuous development of Internet, enterprises have to deal with more and more information. At the same time, due to the increasingly fierce market competition, enterprises put forward higher requirements for the processing of big data, so the development and application of big data technology is very important.
The characteristics of big data are as follows:
The essence of (1) is not much, but to classify and edit these data, so that these big data can be turned into useful materials, which can be used as commercial purposes and create more economic benefits for enterprises.
(2) The technology of big data is very special. In order to effectively process more data in a short time, the machine that stores big data is called "cloud". (3) Another feature of big data is authenticity. Because the sources of big data are very extensive, the authenticity of big data is very important. If the data is not true, then no one will believe big data.
The core of big data is data and content: a set of data often represents many things, and a person's life rules and personal preferences are rich in content, which are all contained in groups of data. Through these data, enterprises can develop products that are more suitable for consumers and users, thus greatly improving the competitiveness of enterprises, showing the preciousness of data.
Summary of supply chain management theory
1999 peter drucker put forward the concept of "economic chain", which is the embryonic form of "supply chain". After that, Michael Porter put forward the concept of "value chain" according to the ideas of predecessors, and after continuous development, it finally formed the concept of "supply chain" that we now call.
A complete supply chain is a complete industrial logistics network composed of downstream suppliers, manufacturers, warehouses, distribution service centers and distributors. A complete enterprise may play different roles in the supply chain, but usually a complete supply chain is composed of many different enterprises. In the supply chain, the flow of raw materials, semi-finished products and products among enterprises forms the flow of goods in the supply chain.
In view of China's special national conditions, many experts and scholars put forward different views on supply chain. For example, a scholar suggested that in order to make the supply chain develop better, we can start with supply chain management, and an excellent supply chain manager can optimize the operation of the supply chain and do things well with the least cost.
Jobs, goods circulation, capital operation and information transmission in the supply chain can all operate efficiently, so that products with high quality and low price and suitable for consumers can be delivered to consumers. Some experts say that we should pay more attention to the role of information technology in the supply chain. The most basic requirement of a complete supply chain is to realize information sharing among enterprises, provide better services for customers, and make enterprises achieve a win-win situation in continuous cooperation.
Application of Big Data Technology in Supply Chain
With the continuous development in recent years, the emergence and development of big data technology has changed the traditional business model, which is also very important for the normal operation of enterprises and supply chain management to a large extent. In the international environment, the situation of supply chain is not optimistic, so we must quickly respond to the changes in supply chain caused by unexpected situations.
Prevent losses caused by accidents. For a large amount of data generated anytime and anywhere, we can collect, discover and dig deeply, divide the needs of many different regions and different types of people according to the actual situation, and through the purchase information left by customers in the past,
The circulation information of logistics can accurately predict the future value, which is the most important value of big data in wide application and supply chain management. More and more enterprises see this future development direction and choose to apply big data technology to the economic management of enterprises.
20 13, Stock summarized the development of supply chain before, and looked forward to some technologies that will profoundly change the development of supply chain in the future, including the importance of big data system to the development of supply chain. Looking back now, I have to admire Mr. Stoke's unique vision. Today, the application of big data system has brought profound changes to human life.
Nowadays, more and more complex software technology, more and more convenient wireless systems, smart wearable devices such as smart phones are more and more convenient, the price is more and more close to the people, and the movement is more and more convenient, which can help users to analyze quickly and get results more conveniently. Stock also has a deep research on IBM's report.
He quoted a report on IBM's views on future information transmission. And how to better connect the rapidly developing information is to make better use of the power of big data for analysis.
Many companies that are using data analysis are convinced that the economic benefits of enterprises and the work efficiency of employees have been improved due to the use of data analysis technology. In view of this, the development of science and technology now
It has driven the rise of big data and injected new blood into the supply chain management of enterprises. Making full use of big data technology can effectively improve enterprises' accurate prediction of future demand and accurately predict market fluctuations.
Deep Integration of Big Data and Supply Chain —— Innovation of Three Big Data on Supply Chain Logistics Management
For ordinary industries, the logistics industry is very special. It stresses strict timeliness. In our words, time is money, because a commodity should be delivered to customers on time. If it is delayed, the experience for users will be greatly reduced, which shows the difficulties of the logistics industry. Whether the logistics activities can be implemented normally depends not only on the manpower problem.
It is also related to many external conditions, such as time, place, material resources and even weather. Because of the randomness, suddenness and uncertainty of the logistics industry, it is very necessary for enterprises to establish a complete early warning system to resist these situations for their own better development. However, due to the lack of information and the slow transmission of information, the traditional early warning system has been unable to adapt to the development of the times.
Therefore, it is necessary to combine big data with logistics industry to build a cloud logistics system. Cloud logistics relies on the powerful data processing ability of cloud computing, as well as regular workflow, flexible industrial coverage and precise link control, which is very important for the logistics industry and can quickly give a complete solution to emergencies.
Some people say that the combination of big data and logistics industry can improve the efficiency of supply chain management, but there is no specific explanation. Now let's describe the role of big data in supply chain management in detail.
The combination of big data technology and logistics platform can collect user orders more efficiently and quickly, and capture and analyze customer data information, so as to integrate the resources of logistics companies and deliver goods to users as quickly as possible.
Now unified information management provides a more secure and reliable guarantee for users' personal information, which can find out the problems of information leakage in time and better serve users.
Therefore, the application of big data in supply chain logistics management is not only the protection of user information, but also the effective integration of resources of logistics companies, the improvement of transportation efficiency, the formation of scale effect, and the improvement of service quality and user satisfaction of the logistics industry.
Future development prospect
People pay more and more attention to the use of big data, but the technology of big data is put forward late and the technology industry applied to supply chain management is not mature, so there is not much research on this kind of technology so far.
After studying the achievements of predecessors, the author believes that the development of big data is inevitable in an era that cannot be ignored. After that, big data will be continuously derived and developed as a hot issue in the field of supply chain management, and will also better serve the society.