Big data has received increasing attention in the current practice and academic fields. Comprehensive and effective research and analysis of big data can provide good preconditions for social progress and development. People have gradually reached this point. A consensus. Big data mainly refers to the huge and complex data information, which requires the use of cloud computing and other data mining technologies to be able to conduct in-depth mining of data information, thereby obtaining huge amounts of data with high potential value. Big data has high potential value, and the amount of data itself is relatively large and has a certain complexity. This requires enterprises to have higher capabilities for mining and analysis in the process of data information processing.

With the increasing penetration of big data applications in all walks of life, the huge commercial value contained in data has become more and more important to people, and data has increasingly become an important corporate asset and national strategic resource. The circulation of data resources through transactions can release greater value, improve production efficiency, and promote industrial innovation. Promoting data circulation through market-oriented means has become a trend, and the data trading market has emerged.

Big data management is the integration of massive amounts of internal data on strategy, culture, operations, marketing, human resources, finance, etc., as well as industry and environmental data outside of the company, to create a structured platform for managing big data through data mining and interpretation, and cross-enterprise The sharing of heterogeneous data will maximize the commercial value of realizing data.

The amount of data that companies use for analysis is huge

Data analysis is an important support point that cannot be ignored in the current enterprise management process. Enterprises need complete, true and effective data to support them. Enterprises need to use a large amount of data to effectively predict the future development trend of the industry. Active response measures and develop good strategies. In the past, there were certain limitations in the collection, storage and analysis of data. When companies analyze and deal with related information issues, they have to maximize their mining and analysis from the small amount of information that can be obtained. The required information will invisibly increase the workload of the enterprise. At the same time, the incompleteness and hysteresis of information will directly affect the overall development of the enterprise. After the advent of the big data era, modern enterprises can adopt a more active and effective way to fully and fully understand and master market information, customer conditions, and inter-industry developments. This reduces the defects of subjective judgment and provides continuous improvement for enterprises. Enhance their core competitiveness and expand the scale of the industry provide a good prerequisite foundation. A distinctive feature in the era of big data is that the sample is the population. It pursues the entire data, but it does not rely only on random samples, which not only expands the scope of data acquisition, but also improves the accuracy of problem-solving.

Data accuracy requirements have been reduced

In the era of small data, companies need to establish their own special databases, store and organize the various data they collect, and continuously improve and optimize the accuracy of the data. The main reason is that if there is a certain deviation in the data, it will It will have a negative impact on the correct strategic decisions of the enterprise, and the consequences of data negligence in the era of small data will be magnified. And enterprise management in the era of big data does not need to face this trouble. In the era of big data, the data information that companies can obtain is more and more comprehensive, complete, and true, so that the increase in data volume can reduce the error rate of data. In the process of enterprise management, we can make timely adjustments to a certain error problem, which enhances the enterprise's own error correction ability. The application of big data by enterprises is not purely for the accuracy of the data, but more is to dig from the data. Potential value information.

Find the correlation between things

The difference between the era of big data and the past is also reflected in an important aspect, that is, the causal relationship between things is no longer focused on research, but the focus of research is gradually placed on the correlation between things. In the era of big data, the method of proposing hypotheses—analyzing data—processing data—verifying hypotheses has gradually been abandoned. Instead, the information data with potential value is fully excavated from low-value-density data, so as to find out what Full exploration of the associations.

Manage big data to help companies optimize resource allocation

Managing big data can achieve a high degree of integration and interconnection of information between various business links of an enterprise, reducing 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. A reasonable allocation of resources can give full play to the maximum potential of each resource, and an unreasonable allocation of resources will inevitably lead to waste.

Taking the manufacturing industry as an example, the R&D, procurement, logistics, production, inventory, sales and other links of the manufacturing industry will generate a large amount of information such as the beat information of each process, product quality information, delivery and receipt information, material flow information, and customer demand information. , Human resource demand information and other data, the management of big data system can realize the high integration and interconnection of internal and external data of the enterprise, eliminating 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.

Managing big data can analyze whether the company's product structure, order structure, and customer structure are reasonable, and adjust the direction of resource allocation. The quality of business results of a company can be analyzed from its product data, operating data, sales data, financial data and other information. The company can scientifically adjust product structure, order structure, and customer structure based on the results of big data analysis. A company’s products usually have to go through a four-stage life cycle process of introduction, growth, maturity, and decline. Companies should decisively abandon products that are in decline to ensure that resources such as human resources and capital are no longer used by products that have no economic benefits. The company’s judgment on whether the product is in a recession is based on the analysis of management big data. Similarly, companies can use management big data analysis to determine which orders and customers contribute the most to profits, thereby adjusting and optimizing the structure of products, orders, and customers, and realizing optimal allocation of resources and maximizing economic benefits.

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

When companies analyze consumer demand, they actively use big data technology to create good conditions for continuous innovation of products and services. After shopping, consumers can reflect their own evaluations and feelings of products and services through social network platforms and shopping platforms. Modern enterprises can collect this information from consumers as feedback information for their products and services. Therefore, according to some questions and suggestions raised by customers, continuous improvement and perfection of its own products and services are carried out, which has a positive effect and significance for improving the overall quality and effect of the company's products and services.

At the same time, based on the evaluation information of many different products and services, modern enterprises can actively absorb relevant excellent experience, so as to enrich their product styles, and produce corresponding new products based on the creative feedback information of consumers. Modern enterprises can gradually improve their service awareness and innovation capabilities by analyzing and improving consumer information. The continuous innovation of products and services occupies a very important position and role in the overall development of an enterprise, and can affect the business ability and development results of the enterprise. In the process of comprehensive management of the enterprise, it is necessary to carry out the big data in the enterprise. Comprehensive and effective application will allow enterprises to always maintain fresh vitality and actively respond to market changes.

Manage big data to help companies achieve precision marketing

Managing big data can help companies track and analyze the macro environment and micro environment of marketing, and achieve precision marketing.

The macro environment of corporate 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 spending patterns, commodity supply and demand factors, commodity price factors, etc.; the population environment includes population size, gender, age structure, geographic distribution, and education level The 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 sectors, etc.; the natural environment includes raw materials and energy, the choice of geographic location, Environmental pollution, etc.

The micro-environment of corporate marketing includes corporate internal environment, supply, marketing intermediary, customers, competitors and public relations. The internal environment of the enterprise includes employees, funds, equipment, management level, rules and regulations, corporate culture, organization, etc. The analysis of the internal environment can provide strong support for marketing; supply includes the sources and channels of supply of materials and funds required by the enterprise Situation: Marketing intermediaries include various 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, and product form competitors ; Public relations include financing party relations, government relations, news media relations, community public relations and social public relations. Managing big data can mine and analyze data such as the macro environment, industry environment and user needs, and provide big data support for the precise marketing of enterprises.

Manage big data to help companies improve internal management

The management of big data can realize the sharing of information within the enterprise, and use the data to improve the internal management of the enterprise. The establishment of an information sharing mechanism between various business departments within an enterprise can improve the efficiency of cross-departmental collaboration, and information sharing is achieved through data such as documents and records. The management can use big data to timely discover business management errors such as strategic mistakes, Problems such as unreasonable organizational structure and improper staffing. In addition, the use of big data within the enterprise can improve the level of business management. For example, by analyzing the human resource efficiency data of employees, the enterprise can explore the law of human efficiency output, optimize the structure of human resources, and improve the efficiency of human resource utilization of the enterprise. It can also be used to recruit and cultivate excellent talents based on data such as the behaviors, habits and values ​​of excellent employees.

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 operation process. Small and medium-sized enterprises will face management problems in strategy formulation, corporate culture, organizational structure, business model, etc. in the development process. They can learn from the experience of large enterprises or receive management consulting services. Management big data can provide enterprises with management data of other enterprises in the industry and reduce the cost of consulting services for enterprises; large enterprises may have problems such as solidified organizational structure, poor information upload and distribution, and poor group management and control. Manage big data It can provide industry-related data support for the management reform of large enterprises.

The application of big data in enterprise management can strengthen the optimization of product processes

With the continuous development of science and technology, the use of machines to replace manual production has gradually become an important way and means of current enterprise production, which has a good effect on improving work production efficiency, and realizes informatization, intelligence, and data production operations. . Especially under the continuous development of network technology, the effective application of the Internet of Things and cloud computing technologies provides important technical support for enterprises to comprehensively control and manage the production and manufacturing of products.

Currently, in the process of manufacturing products, the life cycle of the product can gradually be digitized, which has a good effect on ensuring the quality of the product and improving its performance in use. The application of big data cloud computing technology and big data technology can carry out a comprehensive and effective intelligent analysis of various data in product design, R&D, manufacturing, and operation management, which has a very positive significance for optimizing the production and manufacturing process of products. . Through big data technology, companies can integrate their own data in the process of management to form a complete data scale. When making relevant decisions, these data can be analyzed and applied, so as to find suitable Decision-making information. At the same time, companies can also use big data technology to conduct in-depth mining of various data, and fully apply the high potential value contained in the data, so that a complete data model can be constructed, and when the product process is optimized, it can do Good related support work. Strengthening the process optimization of products can play a good role in improving the production efficiency and quality effects of products.

Managing big data can help companies discover and deal with crises in a timely manner, and avoid sudden risks. In the course of operations, enterprises need to timely discover and deal with crises from inside and outside the enterprise through public opinion monitoring, so as to avoid major losses caused by sudden risks. The management of big data can continuously provide the company with external public opinion information such as the macro environment, industry environment, and competitors, as well as public opinion evaluation of the company's own brand image, products, key figures, employee opinions, and major crisis events, and provide early warning of possible crises , And deal with the crisis in a timely manner by guiding public opinion when a crisis occurs.

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