Due to the development of big data technology, the traditional enterprise chain relationship management model has undergone great changes, and the mature chain relationship management can help small and medium-sized enterprises quickly obtain data such as market, customer allocation, product planning and even logistics and distribution, so as to improve the internal management efficiency of enterprises. **The concept of chain relationship management has attracted the attention of the majority of small and medium-sized enterprises because of its advantages such as greatly reducing costs and reducing capital investment time. Due to the progress of science and technology, the concept of chain relationship management has been widely applied in many private enterprises in China and has achieved remarkable results. In order to enhance the competitiveness of enterprises and obtain greater development advantages, small and medium-sized enterprises should strengthen the importance of the management of the relationship between the first chain, starting from the source of production, and strengthen the management of the first chain procurement. Due to the development of big data technology, the relationship management model of small and medium-sized enterprises is facing unprecedented challenges. Therefore, we need to deeply analyze the problem of chain relationship management of small and medium-sized enterprises in the context of big data, and put forward effective innovation strategies, in order to improve the traditional chain relationship management model and achieve the sustainable development of enterprises.
Keywords: big data;**Chain management;Innovative strategies.
1 Introduction 1
2 The important role of big data in the management innovation of enterprise chain 2
2.1. Provide new management innovation ideas 2
2.2. Improved the accuracy of **chain management 2
2.3. Saves the cost of chain management 2
3 The significance of enterprise ** chain management 3
3.1Information resource sharing 3
3.2. Improving the competitiveness of enterprises 3
3.3 to get more profit 3
4 Problems in the management of enterprise chains in the context of big data 4
4.1**Weak sense of chain management 4
4.2**Chain connection is inefficient 4
4.3**Chain integration technology lags behind 4
4.4Effective cooperation is insufficient 4
4.5**Chain management talent shortage 5
5 Countermeasures and suggestions for enterprise chain management in the context of big data 5
5.1. Strengthen the awareness of chain management 6
5.2. Improve the cohesion of the ** chain 6
5.3. Innovative ** chain integration technology 6
5.4. Deepen cooperation between enterprises 6
5.5. Accelerate the construction of specialized talents 7
6 Conclusion 8
Ref. 9
Acknowledgments 10. The important role of big data in the management innovation of enterprise chains.
1. It provides new management innovation ideas.
In the traditional mode, small and medium-sized enterprises to carry out business management, mainly rely on service and technical personnel to actively contact the upstream and downstream to carry out research, which not only increases the amount of operation, but also inefficient, the results are not significant enough, subject to traditional thinking, enterprise chain management innovation has become extremely difficult. With the vigorous development of big data technology, small and medium-sized enterprises can use this emerging thinking model to collect and analyze the first-chain management information system, and on this basis, determine the strategic goals of self-development, and formulate an effective first-chain management innovation plan, so as to avoid detours in the innovation process.
2. Improve the accuracy of chain management.
Business management is the key to the development of enterprises, but many enterprises lack technological innovation and improvement in this regard. Using the Internet and other information, we can accurately assess the management of the first chain, find problems in time and take measures to avoid blind management, so as to improve the efficiency and accuracy of the first chain management.
3. Save the cost of chain management.
When the company carries out the innovation of the first chain relationship management, it needs to invest huge personnel, material and other resources, which is an important expenditure. However, the traditional chain relationship management model often leads to the company's increasing investment in costs, which hinders the implementation of chain relationship management innovation. The use of big data and other information technologies can effectively allocate the resources required for the management of innovation in the first chain relationship, thereby minimizing costs and promoting the development of related innovation activities.
Second, the significance of enterprise chain management.
1. Information resource sharing.
With the increase of marketing channels, the reflection of consumer demand data has become backward, resulting in the failure of the market economy. Therefore, effective product chain management can effectively improve the investment portfolio of SMEs in the whole enterprise, shorten the response time, and bring more competitiveness to SMEs. Product chain management is an indispensable part that connects SMEs, manufacturers, distributors and retailers to form a good relationship and be able to provide timely feedback to manufacturers to help them make the right decisions and achieve a balance between supply and demand.
2. Improve the competitiveness of enterprises.
Through effective alliance and collaboration, the inventory amount of each link in the business can be greatly reduced, and then more working capital can be brought to the enterprise, and these funds can be used for product development. According to the statistics of China's ** Chain Relationship Management Association, in the implementation of logistics and ** chain relationship management, the inventory cost can be reduced by 85% or more. Due to the reduction of inventory management level, enterprises can effectively reduce capital investment and management costs, thereby improving the competitiveness of enterprises and achieving efficiency improvement.
3. Get more profits.
According to the results of a survey by the Warehouse Association of our country, 453% of enterprises are facing the huge pressure of high logistics and distribution costs, of which direct production costs account for up to half, and logistics and distribution costs account for 1 4. Therefore, if enterprises want to improve their competitiveness, they should take effective measures to reduce logistics and distribution costs to achieve profit optimization. Using first-class chain management, upstream and downstream enterprises can cooperate and organize production according to the needs of users, which greatly improves the efficiency of logistics and distribution. In addition, developing an effective logistics distribution optimization plan can effectively reduce logistics costs and thus obtain more economic benefits.
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