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The editor of this article introduces in detail "what are the characteristics and functions of big data's management". The contents are detailed, the steps are clear, and the details are handled properly. I hope this article "what are the characteristics and functions of big data's management" can help you solve your doubts. Let's follow the editor's ideas to learn new knowledge.

The characteristics of enterprise management in the era of big data:

1. The amount of data used by enterprises for analysis is very large.

Data analysis is an important supporting point that can not be ignored in the current enterprise management process. Enterprises need complete, real and effective data to support, and enterprises need to use a lot of data to effectively predict the development trend of the industry in the future, so as to take positive measures and formulate good strategies. In the past, there are some limitations in the collection, storage and analysis of data. when enterprises analyze and deal with relevant information problems, they are all from a small amount of information that can be obtained. maximum mining and analysis of their own information, which invisibly increases the workload of the enterprise, while the incompleteness and lag of information will directly affect the all-round development of the enterprise. After the advent of big data era, modern enterprises can adopt more positive and effective ways to fully understand and master the market information, customer situation and the development of different industries, which reduces the defects of subjective judgment and provides a good prerequisite for enterprises to continuously improve their core competitiveness and expand the industrial scale. A distinct feature of big data's era is that the sample is the population, it pursues all the data, but it does not only rely on random samples, which not only expands the scope of data acquisition, but also improves the accuracy of solving problems.

two。 The accuracy of the data has been reduced.

In the era of small data, enterprises need to establish their own special database, store and organize the data collected by themselves, and constantly improve and optimize the accuracy of the data, mainly because if there is a certain deviation in the data, it will have a negative impact on the correct strategic decisions of enterprises, and the consequences of data negligence in the era of small data will be magnified. The enterprise management in the era of big data does not need to face this problem. In the era of big data, the data information that enterprises can obtain is more and more comprehensive, complete and real, so that because of the increase in the amount of data, the error rate of data can be reduced. In view of a certain error problem in the process of enterprise management, it can be adjusted in time to enhance the error correction ability of the enterprise itself. Big data is not only for the accuracy of the data, but also for mining potential value information from the data.

3. Look for the correlation between things

The difference between big data era and the past is also reflected in an important aspect, that is, no longer focus on the causal relationship between things, but gradually focus on the correlation between things. In the era of big data, the way of putting forward hypotheses-analyzing data-processing data-verifying hypotheses was gradually abandoned, but the potentially valuable information data were fully mined from the data with low value density. so as to explore the relationship between things in a comprehensive way.

4. Manage big data to help enterprises optimize the allocation of resources

The management of big data can achieve a high degree of information integration and interconnection among various business links of the enterprise, and reduce unnecessary waste of resources. The operation of an enterprise is realized on the basis of the effective operation of human, financial, material, information and other resources. reasonable allocation of resources can give full play to the maximum potential of each resource, and unreasonable allocation of resources will inevitably lead to waste.

Take the manufacturing industry as an example, manufacturing R & D, procurement, logistics, production, inventory, sales and other links will produce a large number of data, such as process beat information, product quality information, delivery and receipt information, material flow information, customer demand information, human resources demand information and so on. Big data management system can achieve a high degree of integration and interconnection of internal and external data. Eliminate excessive production waste, waiting time waste, process waste, inventory waste, transportation waste, product defect waste, etc., reduce production costs, improve production efficiency and product quality, and achieve optimal allocation of resources.

Management big data can analyze whether the product structure, order structure and customer structure of the enterprise are reasonable, and adjust the direction of resource allocation. The quality of the enterprise's operating results can be analyzed from its product data, operation data, sales data, financial data and other information, and the enterprise can scientifically adjust the product structure, order structure and customer structure according to big data's analysis results. The products of enterprises usually go through the life cycle process of four stages: introduction period, growth period, maturity period and decline period. enterprises should decisively abandon the products in the recession period and ensure that resources such as manpower and funds are no longer swallowed by products without economic benefits, and the basis for enterprises to judge whether the products are in the recession period comes from the analysis of management big data. Similarly, enterprises can use management big data to analyze and judge which orders and customers make the greatest contribution to profits, so as to adjust and optimize the structure of products, orders and customers, and achieve the optimal allocation of resources and maximize economic benefits.

5. The application of big data in enterprise management can effectively promote product innovation.

When analyzing the consumer demand of consumers, enterprises actively use big data technology to create good conditions for the continuous innovation of products and services. After shopping, consumers can reflect their own evaluation and feelings about products and services through social network platforms and shopping platforms. Modern enterprises can collect these information from consumers as feedback on their own products and services, so as to continuously improve and improve their own products and services according to some questions and suggestions put forward by customers. This plays a positive role and significance in improving the overall quality and effect of enterprise products and services.

At the same time, according to the evaluation information of different products and services, modern enterprises can actively absorb the relevant excellent experience, so as to enrich their own product style, and produce corresponding new products according to the creative feedback of consumers. Modern enterprises can gradually improve their service consciousness and innovation ability by analyzing and improving the information of consumers. The continuous innovation of products and services occupies a very important position and role in the all-round development of the enterprise, and can affect the operating ability and development results of the enterprise. In the process of overall management of the enterprise, it is necessary to make a comprehensive and effective application of big data in the enterprise, so that the enterprise can always maintain fresh vitality and actively respond to the changes in the market.

6. Manage big data to help enterprises realize accurate marketing

Management big data can help enterprises track and analyze the macro and micro environment of marketing and achieve accurate marketing.

The macro environment of enterprise marketing includes political and legal environment, economic environment, population environment, social and cultural environment, technological environment and natural environment. The political and legal environment includes policies and regulations, political stability, etc.; the economic environment includes consumer purchasing power, changes in consumer expenditure patterns, commodity supply and demand factors, commodity price factors, etc.; population environment includes population size, gender, age structure, geographical distribution, education level, etc.; social and cultural environment includes people's values, cultural traditions, customs, ethics, etc. The technological environment includes the application of related technologies, the emergence of new technologies and new industrial departments, etc.; the natural environment includes raw materials and energy, the choice of geographical location, environmental pollution and so on.

The micro-environment of enterprise marketing includes enterprise internal environment, supply, marketing intermediary, customers, competitors and public relations. The internal environment of the enterprise includes employees, capital, equipment, management level, rules and regulations, corporate culture, organizational structure, etc., the analysis of the internal environment can provide strong support to marketing; supply includes the supply sources and channels of materials and funds needed by the enterprise; marketing intermediaries include all kinds of organizations that promote, transport, distribute and sell products; customers include target customers and potential customers of products Competitors include parallel competitors, desire competitors, brand competitors, product form competitors; public relations include financier relations, government relations, media relations, community public relations and social public relations. Management big data can mine and analyze data such as macro environment, industry environment and user demand, so as to provide big data support for accurate marketing of enterprises.

The management of big data can realize the sharing of internal information and improve the internal management of enterprises by using data. The establishment of information sharing mechanism among various business departments within an enterprise can improve the efficiency of inter-departmental cooperation, and information sharing is achieved through data such as documents and records. through big data, the management can timely find problems in enterprise management, such as strategic mistakes, unreasonable organizational structure, improper staffing and so on. In addition, the internal use of big data can improve the level of business management. for example, by analyzing employees' human resource efficiency data, enterprises can explore the law of human efficiency output and optimize the structure of human resources. to improve the efficiency of human resources utilization, in addition, enterprises can also form outstanding talent portraits suitable for the enterprise based on the behavior, habits and values of excellent employees. It is used to recruit and train excellent talents.

Industry-wide management big data sharing can provide data support for enterprises to improve internal management. Every enterprise will have some management problems in the process of operation, and small and medium-sized enterprises will face some management problems in the process of development, such as strategy formulation, corporate culture, organizational structure, business model and so on. there is a need to learn from the experience of large enterprises or to receive management consulting services, while Management big data can provide enterprises with management data of other enterprises in the industry and reduce the cost of consulting services. Large enterprises may have problems such as solidified organizational structure, poor information uploading and downloading, weak group control and so on. Management big data can provide relevant data support for the management reform of large enterprises.

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