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Part 1: Sample Text of Enterprise Statistical Analysis
key word: enterprise statistical analysis Species effect
The purpose of enterprise statistical analysis is to reveal the essential characteristics, internal relations and development laws of enterprise economic phenomena, and propose solutions and suggestions through keen foresight, statistical data, statistical methods and technologies, and timely comprehensive research.
1、 Types of enterprise statistical analysis
1. Progress statistics and analysis
The progress analysis is based on the statistical data of the periodic report, the main indicators of the report assessment as the analysis object, and uses comparative analysis and other methods to compare the actual performance of the indicators with the plan, the current period and the previous period, to obtain the plan completion percentage or dynamic relative number, further analyze the reasons for growth or decline, and find out the favorable and unfavorable factors Report to leaders at all levels and relevant departments for deployment of the next phase of work.
2. Special statistical analysis
Thematic statistical analysis is a special and in-depth analysis of one aspect, one link and one factor of social or enterprise economic phenomenon by using statistical data and combining with thematic surveys. The problems it studies are policy oriented, tendentious and typical, and are mostly concerned by policy makers. It is an important form for statistical work to track policies, give play to the role of service and supervision.
Special research, as far as enterprises are concerned, is a comprehensive research on a special issue with greater impact in business management. The data required for the special research requires both breadth and depth. The survey methods used include not only the collection of second-hand data from various sources, but also the specially organized sampling questionnaire survey, typical survey and in-depth interview. The analysis method emphasizes the combination of qualitative analysis and quantitative analysis, the combination of analysis and synthesis, and the combination of general description, trend research and typical material research.
3. Comprehensive statistical analysis
Comprehensive statistical analysis, for an enterprise, is to study the overall balance and proportional relationship between its supply, production, sales and people, finance, and materials. It involves a wide range of data and a large historical span. It not only needs to use readily available data, but also needs to collect and sort out a large number of historical data, external data, and industry data. The analysis methods used are also complex, including longitudinal research and horizontal comparison; There are comprehensive balance and proportion calculation. The purpose of comprehensive statistical analysis is to explain the overall characteristics of the analysis unit, reveal important balance relationships or bottlenecks, and make overall decisions.
2、 The role of enterprise statistical analysis
1. Statistical analysis is the final result of statistical activities
Statistical activities generally include statistical design, statistical investigation, statistical sorting and statistical analysis. According to the purpose of statistical research and the characteristics of the research object, statistical design defines statistical indicators and indicator systems, and formulates various statistical work plans. The task of statistical survey is to collect original statistical information using various survey methods. The task of statistical sorting is to use summary, grouping and other means to rough process statistical information and sort out the original scattered statistical information into systematic statistical information. Statistical analysis deeply processes statistical information, so that statisticians can deepen their cognition and reflect the essence and laws of things. Only by expressing the results of statistical analysis in written form can they be used by people and realize the overall function of statistics. It can be seen that statistical analysis report is the final product of statistical activities.
2. Statistical analysis of enterprises is an important basis for scientific decision-making of enterprises
Enterprise statistical analysis plays a role not only in information service, but also in consultation and supervision for enterprise leaders to implement and implement the party and state work guidelines and policies, formulate and inspect enterprise work plans, reasonably allocate and use enterprise resources, and constantly improve the economic and social benefits of enterprises. At the same time, it will become the main basis for understanding the development of relevant enterprises in the region and the distribution and utilization of resources, and solving the corresponding problems of talent cultivation, equipment configuration, technology introduction, etc. This is not only conducive to the leaders and relevant departments to objectively and comprehensively understand the history, current situation and development trend of economic activities, promote the improvement of management level, but also conducive to making correct decisions and plans, so as to give full play to the important role of statistics in promoting enterprise management and participating in decision-making.
3. Enterprise statistical analysis is the guarantee to promote the development of enterprise statistical work
Enterprise statistical analysis is not only widely used in enterprise operation and management, but also the final product of enterprise statistical activities and the general gateway of enterprise statistical activities. Because by writing the analysis report, we can examine the statistical work at all stages, find the existing problems and weak links, and make up and improve them in time, so as to ensure the quality of statistical work. It plays a role in urging enterprise statisticians to timely grasp the direction of market changes and the development of enterprise activities, change from passive to active, collect relevant information in a timely manner, process and sort out these information and data, find out the internal links existing in the production and operation links, explore the laws of economic development, find out the existing problems, and propose countermeasures.
4. Enterprise statistical analysis can correct the problem of statistical data in time
All kinds of data in the production and operation process of the enterprise are related to each other to a certain extent, such as output and quality, output and cost, quality and material unit consumption, cost and material unit consumption, etc. When writing statistical analysis, our statisticians should first ensure that the collected data is correct, otherwise it will mislead and make wrong conclusions. Statistical analysis is the quality inspection and supervision of statistical data, which can find and correct data errors in a timely manner. The most common methods are comparison method, link comparison method, etc. We use most to verify whether there are errors in unit consumption accounting and inventory. We also use the cost of materials to verify the unit consumption, so that enterprises can use correct unit consumption data to analyze deeply, find out the real reasons that affect the increase of unit consumption of production materials, and take measures to reduce consumption and reduce costs.
5. Enterprise statistical analysis can cultivate a large number of useful statistical talents for enterprises
Statisticians must learn to analyze and process data while collecting, summarizing, and sorting out data. Only on the basis of collecting, summarizing, and sorting out a large number of various data in enterprise operation, can they deeply analyze various phenomena in the process of enterprise operation to find out the causes and put forward solutions and suggestions. This requires that statisticians must be very familiar with the whole process of production and operation of the enterprise, be able to master various statistical analysis methods, and must also have certain writing ability, quick thinking, strong logic, and deep and powerful analysis. Therefore, by writing statistical analysis, we can train our statistical team, improve the ideological quality and professional quality of statisticians, and cultivate a group of compound talents who understand both statistics and economy for enterprises.
3、 Conclusion
In a word, the influence and status of enterprise statistics can only be fully seen from the extent to which statisticians provide services to enterprise decision-makers and participate in the investigation and research of hot and difficult issues in enterprise economic operation. Therefore, enterprise statisticians should, on the basis of fully mastering the original data of production and business activities, go deep into reality, and possess rich and reliable data, carry out detailed analysis, turn dead data into live and valuable information and advice, and do a good job in enterprise statistical analysis, which is a powerful guarantee to further provide high-quality statistical services, Its important role is irreplaceable by other statistical products.
reference:
[1] Zhou Jing Analysis and Construction of the Current Situation of Enterprise Statistics [J]. Liaoning Economy, 2006, (07)
Part 2: Sample Text of Enterprise Statistical Analysis
Key words: statistical analysis; New era enterprises; Application discussion
With the continuous development of market economy, enterprises are increasingly applying statistical analysis in their own production, operation and management decisions. Since entering the new century, in order to reduce their own production and operation costs and improve management efficiency, enterprises have paid more and more attention to the application of statistical analysis in all aspects. In order to better promote the application process of statistical analysis in enterprises, enterprises focus on statistical analysis, and have achieved good results in market share and economic efficiency. The following is a brief discussion on the application of statistical analysis in enterprises in the new era and specific improvement measures:
1、 Application of statistical analysis in enterprises in the new era
1. Application of ERP in enterprise forecast
In statistical analysis methods, dynamic analysis and prediction are usually combined with static analysis and prediction to predict the trend of production and operation of enterprises. The application of statistical analysis in enterprise forecasting mainly starts from the following three aspects: first, when making forecasting, enterprises will focus on quarterly and annual statistics forecasting and analysis according to their own development characteristics and nature, so as to ensure that the phased goal assessment and management of the entire enterprise really achieve results. Secondly, during statistical analysis, enterprises will conduct indicator analysis based on specific planning objectives and historical production and sales data, to explore the differences and volatility of the entire enterprise's economy in operation. Finally, enterprises can establish relevant prediction models through statistical analysis to improve the scientificity of the overall planning of enterprises, and at the same time make in-depth research on the particularity of the entire enterprise, so as to find out the market share of enterprises and the competition between enterprises and other peers in terms of products, prices, services and external communication. Through the application of statistical analysis, enterprise prediction can be highly scientific and authentic, which plays an important guiding role in the development of enterprises in the right direction.
2. Application in enterprise management
The application of statistical analysis in enterprise management is not only the application of knowledge management mode, but also plays a positive role in the improvement and innovation of the management idea of the whole enterprise. In terms of management mode, enterprises will apply statistical analysis methods in combination with their own characteristics to reduce the cost of the entire enterprise management through this simple and convenient scheme with small investment. On the premise of ensuring the scientific and advanced management mode of the entire enterprise, the shortcomings of the entire enterprise in management and the room for improvement in management can be excavated through statistical analysis, Therefore, it is convenient for the management department to improve the management mode and enhance the management effect of the enterprise. In addition, in terms of management ideas, statistical analysis can help to form new management ideas, integrate the market competitiveness of the entire enterprise through statistical analysis in the production and operation process of the entire enterprise, and create new management procedures based on various historical management data, thus promoting the innovation and improvement of the management ideas of the entire enterprise, So as to provide more power for enterprise management.
3. Application in enterprise decision-making
In the decision-making process of enterprises, the application of statistical analysis can also play a very good role in promoting and helping. The application of statistical analysis in enterprise decision-making mainly starts from two aspects: first, the analysis of the market demand for enterprise products and the supply capacity of the enterprise itself. Enterprises can use statistical analysis methods to make comprehensive statistics on the market potential, market purchasing power, consumer satisfaction, and order supply satisfaction of their products, and then make corresponding analysis on the basis of these data, which can provide scientific judgment for judging the market profitability of enterprises and the supply and demand status of products, Further more, it provides scientific data basis for the leaders of enterprises to make correct decisions. Second, enterprises use statistical analysis to understand and evaluate the strength of industry competitors. According to market trends, enterprises make statistics on the historical market data of competitive enterprises, find out the advantages and disadvantages of these enterprises in the marketing process on the basis of these data, and only by knowing themselves and the other can their products seize more favorable conditions in the market. Enterprises can make positive and effective countermeasures against the statistics and analysis of competition data in these industries, and then formulate corresponding development strategies to provide certain data basis.
4. Application in enterprise control
In the management and control of enterprises, statistical analysis has also been well used. Usually, when an enterprise's plan is approved and formally implemented, it will encounter some unpredictable factors. Statistical analysis at this time can help the enterprise finance take positive and effective countermeasures and improve its own control ability. The application of statistical analysis in enterprise control mainly has two aspects: one is the process analysis and control of enterprises. In the whole process of production and operation, enterprises will be more or less affected by adverse factors. Statistical analysis will be carried out in the process of planning, which can fully consider various special situations in the development process of enterprises, so that when facing some problems, enterprises can have relevant data analysis as support, and then take decisive and effective control measures to solve the problems of enterprises. Second, stage analysis and control. Enterprises can use statistical data to regularly analyze the progress of enterprise production and the completion of plans, so that they can find out the relevant problems in the implementation of plans. In addition, statistical analysis of the data at each stage can provide more guidance for enterprises to achieve the target rate at each link, so as to measure the market potential of enterprises and become an important basis for specifying sales goals.
2、 Specific measures to improve the effectiveness of statistical analysis in enterprise applications
1. Improve management foundation and ensure the materiality of statistical analysis application
In the process of using statistical analysis for management, enterprises must have a good management foundation as a prerequisite. In order to ensure the materiality of statistical analysis applications, it is important to improve the management foundation of the entire enterprise. On the one hand, the management departments of enterprises should actively implement the application of statistical analysis. The senior management of the enterprise should require the managers to have a deep understanding of statistical analysis. At the same time, the real-time data of statistical analysis should be used as an important basis for the innovation and improvement of management mode and management means in the production and operation of the enterprise, and the entire management department should constantly strengthen the importance of statistical analysis, This will ensure that statistical analysis is applied substantively in enterprise management and improve the management efficiency of the whole enterprise. On the other hand, enterprises should establish professional institutions with statistical analysis capabilities. The application of statistical analysis is a systematic project. In order to ensure the substantiality of the entire application, setting up corresponding project organizations in enterprises can make the management of statistical analysis more standardized and scientific. This organization is the main leading organization of the entire enterprise's statistical analysis application. It is composed of a group of professional data analysis talents and management talents. It can achieve mutual cooperation in statistical analysis application and management, and optimize the enterprise's statistical analysis application process.
2. Develop professional education and improve the quality of statistical analysis application team
In order to promote the application of statistical analysis in enterprises, it is necessary to carry out professional education and improve the quality of statistical analysis application team. First of all, the professionals of the statistical analysis institutions set up by enterprises should have strong statistical analysis expertise and good team spirit. In the process of statistical analysis and application of the whole enterprise, these professionals should be the backbone and make more contributions to the development of the enterprise through advanced and scientific statistical analysis carried out by the whole organization. Secondly, other departments of the enterprise should also have a good sense of statistical analysis. Employees in each link should have correct statistical ideas. When problems occur in some links, employees can quickly use statistical analysis data to find the corresponding root causes of problems, so as to better and faster solve problems. Employees should be aware of the existence of fluctuations in the production and sales process, but must have the ability to apply statistical analysis to understand normal and abnormal fluctuations, so as to control the operation process of the entire enterprise within the normal range. Only if the whole enterprise has good professional doctors for statistical analysis can it better promote the development process of statistical analysis in the enterprise.
3. Focus on enterprise production and promote statistical analysis to control product quality
The application of statistical analysis can guide the production of enterprise products. Therefore, the statistical analysis of the entire enterprise should be carried out on the import production status to promote the control of product quality. In the quality control link, the recorded data of quality information should become an important basis for statistical analysis. During the corresponding analysis process, the staff should make a specific evaluation of each link of product production, take the evaluation data as an important reference standard for the quality information of the entire enterprise, and then evaluate the quality of products in related links based on the established analysis model, In this way, the quality of the products on the whole production line can be ensured under the scientific control procedure, and the market competitiveness of the enterprise will not decline due to product quality problems. In addition, the operation of the production line of the product should be based on the statistical analysis of the market data of the enterprise, so that the setting of some parameters in the quality of the product can be closer to the market, thus ensuring the qualification rate of the whole product in quality.
4. Infiltrate enterprise planning and strengthen the role of statistical analysis on enterprise development
The application of statistical analysis in enterprise forecasting has played a very good role in promoting its penetration into enterprise planning. The planning of the enterprise should be based on statistical analysis to ensure the correct and scientific development direction of the whole enterprise. In terms of management planning, enterprises should find out what needs to be improved and upgraded in the management of the whole enterprise through statistical analysis, and determine the corresponding management planning scheme based on the analysis of relevant data, so as to promote the management of the whole enterprise to move forward actively. In terms of production planning, enterprises should conduct statistical analysis based on product quality data and production machine operation data, judge the improvement space and development prospect of the production efficiency of the entire product, and then provide more reasonable guidance for the production of the entire product. In terms of sales planning, enterprises should timely find out the market opportunities of enterprises through statistical analysis of market data, for example, some service prospects and brand building related to enterprise production, so that enterprises can use scientific and accurate data to carry out targeted planning for the overall market operation of enterprises, Ensure that the whole enterprise is in an advantageous position in the market competition.
Part 3: Sample Text of Enterprise Statistical Analysis
[Key words] Statistical analysis; business management; application
CLC No.: F272 Document ID No.: A Article No.: 1009-914X (2016) 08-0199-01
Statistical analysis is a research activity based on the combination of quantitative and qualitative methods by using the knowledge related to statistical methods and analysis objects. It is an important part of the whole statistical work, plays a huge role in enterprises, and is also the main basis for enterprises to formulate production plans, development strategies and plans.
1、 Overview and characteristics of statistical analysis
1. Overview of statistical analysis
Statistical analysis refers to the research activities conducted from the combination of quantitative and qualitative methods by using statistical methods and knowledge related to the analysis object. It is a very important work after statistical design, statistical investigation and statistical sorting. It is based on the work in the previous stages to achieve a deeper understanding of the research object through analysis. It is also a research activity based on the design of analysis scheme, collection and sorting of data under certain topics. Systematic and perfect data are the necessary conditions for statistical analysis.
2. Characteristics of statistical analysis
The important characteristics of statistical analysis are the use of statistical methods and the combination of quantitative and qualitative methods. With the popularization of statistical methods, not only statistical workers can carry out statistical analysis, but also workers from all walks of life can use statistical methods for statistical analysis. Strictly speaking, it is incorrect to refer to the analysis activities that statisticians participate in as statistical analysis. The product of statistical analysis is to provide high-quality, accurate and timely statistical data and high-level, in-depth and wide statistical analysis reports. In a sense, providing high-level statistical analysis reports is the final product of deeply processed statistical data.
(1) Application of statistical methods: statistical methods are the general name of a special kind of scientific research methods that take the quantitative relationship of overall phenomena as the object. From the perspective of application, they can be divided into empirical methods and mathematical methods. Empirical methods refer to the methods related to people's long-term statistical practical experience. The quantitative comparison method, grouping analysis method, index and factor analysis method commonly used in statistical analysis belong to this category. If this kind of methods can be used correctly, the scientificity of statistical analysis can be improved.
(2) Combination of quantitative and qualitative analysis: statistical analysis is not faced with abstract figures, but on the premise of qualitative analysis. The research object is recognized through its quantitative performance. Therefore, it is necessary to be familiar with and master the knowledge related to the research object.
2、 Application of statistical analysis in enterprises
Statistical analysis plays an important role in the operation of an enterprise. From the perspective of the whole process of statistical cognition, through statistical design, investigation and preliminary sorting of the statistical data obtained, we can gain some understanding of the overall quantitative characteristics of objective phenomena. However, these understandings are only preliminary and superficial. Only by analyzing and studying these materials from the outside to the inside can we grasp the essential characteristics, internal relations and development and change laws of things, and further deepen the statistical understanding. Because statistical analysis has the function of deepening understanding, statistical analysis has been widely used in enterprises.
Statistics is characterized by quantity. The role played by statistical analysis is mainly realized through quantitative analysis. Statistical analysis plays three main roles in people's understanding process: first, it quantifies objective things, including the quantitative expression reflecting the laws of objective things; The second is to confirm the quality of things according to the degree of quantitative change, that is, to determine the quantitative boundary that distinguishes the quality of things; The third is to reveal new laws, that is, to discover the laws of things that have not been recognized by analyzing the quantitative relationship. Statistical analysis is a process of understanding the objective world from sensibility to rationality. Properly handling the statistical analysis work in the enterprise can see the status quo more comprehensively as a whole, and can better promote the development of enterprises and play the role and significance of statistical analysis work. In terms of social and economic fields, statistical analysis is also an important means to give full play to the overall function of statistics and improve the status of statistical work. With the implementation of reform and opening up in China, profound changes have taken place in the field of social economy. It is difficult for leading departments and decision-makers at all levels to grasp the rapidly changing situation and make scientific decisions only by their personal ability and experience. In this case, the advantages of statistical analysis appear. It can integrate data, situations, problems, suggestions, etc., both quantitative analysis and qualitative analysis. Compared with general statistical data, it is more centralized, systematic and clearer to reflect the objective reality, and easy to read, understand and use. Therefore, it is the main means to play the functions of statistical information, consultation and supervision. At the same time, it has also improved the social status of statistical work.
Statistical analysis is widely used in enterprise development, mainly in three aspects:
First, the application of statistical analysis in enterprise forecasting. In statistical prediction, the combination of static analysis and prediction and dynamic analysis and prediction is generally emphasized, with static analysis and prediction as the main method. First of all, enterprises should focus on annual and quarterly statistical forecast analysis according to their own characteristics to ensure the effectiveness of enterprise objective management and assessment. Secondly, it is necessary to determine various data indicators according to the planned objectives and historical sales data of the enterprise, and find out the similarities and differences of economic operation fluctuations. Thirdly, according to the overall planning of the enterprise and the particularity of the industry, a certain prediction model should be comprehensively used to improve the scientificity of the analysis. The company's market share depends on the company's products, services, prices, communication and other relations with competitors. If other factors are the same, the company's market share depends on the relationship between its market costs and its competitors in terms of scale and efficiency. Posted on 233
Second, the application of statistical analysis in enterprise decision-making. With the advancement of enterprise informatization construction, enterprises are gradually affected by the external environment, which requires enterprises to process and analyze relevant information in a timely manner. The first is the analysis of market demand and supply capacity. It mainly includes residents' purchasing power, potential and actual market demand for goods, brand maturity, order satisfaction rate, consumption preference, etc. Through the analysis, we can judge the profit space and supply and demand gap of the enterprise, and provide the basis for the leadership to determine the scale of commodity sales and develop phased marketing strategies. The second is the analysis and impact on the socio-economic environment. It mainly includes the impact of domestic and international macro environment on the development of our industry and the impact of local laws and regulations, folk customs on the development of enterprises. The third is the analysis of enterprise competitiveness. By analyzing the operation of other enterprises in the industry, we can understand the gap and potential of our own development in comparison, so as to provide reference for formulating correct development strategies.
Third, the application of statistical analysis in enterprise process analysis and stage analysis control. During the implementation of the plan, some unpredictable situations often occur. Process analysis and phase analysis shall be carried out in a timely manner. Enterprises can use statistical data to regularly analyze the completion and progress of plans, so as to find problems in the implementation process in a timely manner. By comparing and analyzing the results of the completion stage, it is helpful to determine the indicator completion rate. It is convenient to measure the performance between different markets with the same market potential. It also serves as the basis for setting sales targets.
In enterprises, statistical analysis is an important method to understand the current situation, predict the future and better promote the development and progress of enterprises. It is of great significance to do a good job in statistical analysis. Therefore, we should improve the research on statistical analysis so that statistical analysis can become a powerful driving force for enterprise development.
reference:
[1] Zhao Jingxia How to carry out statistical analysis [J]. Business Economics. 2004. 4
[2] Song An Application of statistical analysis in enterprise management and business decision-making [J]. Economist. June 2003
[3] Fan Wenzheng Practical Significance of Several Basic Statistical Thoughts [J]. Statistics and Decision Making, 2007. (08)
[4] Xing Li Research on Statistical Thoughts in Nine Chapters of Arithmetic [J]. Statistical Research, 2008. (03)
[5] Wang Dazhi Scientific nature of statistical work [J]. Scientific and technological information development and economy, 2008. (04)
Chapter 4: Sample Text of Enterprise Statistical Analysis
Key words: private enterprises Private enterprise archives statistics
The archives of private enterprises refer to the historical records in different forms, such as words, charts, audio-visual and electronic records, which are formed in the production, operation, scientific research, infrastructure construction and various management activities of private enterprises and are of great value to enterprises [1]. In recent years, with the reform of the economic system, the development of private enterprises is unstoppable. As a part of its development, archives work has gradually been paid attention to, and the research literature on private enterprise archives is also increasing. This paper mainly makes statistical analysis of the relevant literature in recent years to understand the current research status, aiming to enlighten and help its future research and development.
1、 Statistical analysis of literature
The author, through the research on CNKI (http:///) The Chinese academic journal online publishing database, characteristic journals, full text of excellent master's degree papers, and full text database of important conference papers were searched and counted. With the key word "private enterprise archives", 342 records (1989-2013) were obtained, and 203 valid documents were obtained by deleting non academic documents such as news reports and repeated articles. The author makes a statistical analysis on the types of journals, the time of publication, and the author's organization.
（1） Types and distribution of periodicals
According to the statistics, the literature related to "private enterprise archives" is mainly published in 52 journals, of which 26 are related to archives (159, accounting for 78.33%), 9 are university journals (9, accounting for 4.43%), and the other 17 are (35, accounting for 17.24%), reflecting that the research on private enterprise archives is mainly concentrated in the archival field, However, experts and scholars in other fields pay less attention to this aspect. At the same time, among the 26 journals related to archives, there are 10 core journals with 67 articles published, which shows that the level of papers on private enterprise archives is general, the level of research is shallow, and the quality is not high.
（2） Time distribution
According to the CNKI retrieval, the research on private enterprise archives began in 1996, and there were two related papers, Chen Bin's On Private Enterprise Archives Management published in Sichuan Archives and Private Enterprise Archives Management to be Strengthened published in Archives and Construction. See Figure 1 for details.
It can be seen that since 1996, with the growth of the year, the number of documents related to private enterprise archives has been increasing, especially from 2005 to 2007, and the number reached the highest value. This is related to the policies to encourage the development of private enterprises, such as the issuance of Several Opinions on Encouraging, Supporting and Guiding the Development of Private and Private Non public Economy in 2005. It also shows that with the development of social economy and the reform of the market system, private enterprises have developed rapidly, and the attention and research on private enterprises have also increased.
（3） Distribution of authors' organizations
Based on the statistics of the literature authors' units, the author found that there were 29 researchers (19%) from schools, 93 researchers (60%) from the Archives Bureau, 14 researchers (9%) from companies and enterprises, and 20 other researchers (12%), which reflected from the side that the research on private enterprise archives was mainly concentrated in the archival academia, The research on this aspect of social organizations such as companies and enterprises is relatively few.
（4） Geographical distribution
Similarly, through the analysis of the region where the author's work unit is located, it is found that the research on private enterprise archives is mainly concentrated in the eastern cities, and less in the western and central regions, which may be related to the developed economy in the eastern region, higher policy level, and more open people's ideology. The development of private enterprises in the eastern region is also higher than that in the central and western regions, It can also reflect that the eastern region pays more attention to archives than the central and western regions.
2、 Main contents of the study
（1） Characteristics of Private Enterprise Archives
The characteristics of private enterprise archives can be summarized as four points: comprehensiveness, reality, knowledge and economic attributes. Comprehensiveness means that it reflects the overall picture of the entire management activities of the enterprise from production to operation, records the past of the enterprise, and indicates the future of the enterprise; The reality means that it comes into being, accumulates and develops with the production activities of the enterprise, and at the same time provides use for the development of the enterprise. In addition, it also reflects the real interests of the enterprise; Knowledge refers to the fact that private enterprise archives cover all aspects of enterprise activities, contain various insights and wisdom crystallization from enterprise founders to enterprise employees, and contain rich information and knowledge; From the beginning of private enterprise project activities, there has been a series of economic activities such as sales, benefit measurement, loan funds, which makes its archives present economic attributes. In addition, its economic attributes are also reflected in the fact that private enterprise archives exist as tangible assets and are special assets of enterprises [2].
（2） Archives management mode of private enterprises
Professor Zong Peiling made a general description of the current form of private enterprise archives management mode in his Research on Private Enterprise Archives Management Mode according to its basic form. He believed that: according to the degree of centralized and unified management of archives, including centralized and unified management of archives, hierarchical management, decentralized management; According to its management objects, including comprehensive file management, integrated document management, and integrated information management; According to the management form, it includes file entity management, file information management, and file information resource management. The above division only gives a general description of the basic forms of enterprise archives management. In the actual management process, several modes may cross each other [3]. Other scholars divide the management mode into two categories: independent management and socialized management from the aspects of the setting of internal archives institutions, the location of archives custody and the degree of concentration. Self management refers to the perfect file management model established by enterprises according to their actual scale and characteristics. Specifically, it can be divided into centralized, distributed, centralized and distributed. Social management refers to that an enterprise transfers all or part of its archives to professional or non professional archives management organizations established in the society for management. Common examples include: archives depository center, archives office and commercial document center [4].
Chapter 5: Sample Text of Enterprise Statistical Analysis
With the support and guidance of the local government and the superior industrial and commercial leaders, the Administration for Industry and Commerce of ×× City gradually improved various regulations in combination with the actual situation of the city. Under the severe international economic situation, it seized the danger as an opportunity and strived for a detour to surpass. In the middle of the year, the enterprises in this city were in the momentum of breaking the ice and had a rapid and healthy development.
1、 Basic information
_Domestic funded enterprises: As of MM/DD/YYYY, there were ____ domestic funded enterprises registered in accordance with the law in the city, with a registered capital of ______ _Ten thousand yuan. According to the type of enterprises, there are ___ state-owned enterprises, ___ collective enterprises, __ joint-stock cooperative enterprises, ___ corporate enterprises and __ other enterprises; According to the industrial structure, there are __ households in the primary industry, ___ households in the secondary industry and ___ households in the tertiary industry.
_Private enterprises: As of MM/DD/YYYY, there are actually ____ private enterprises registered according to law in the city, with a registered capital of ______ __Ten thousand yuan. According to the types of enterprises: ____ limited liability companies, __ joint stock limited companies, __ sole proprietorships, __ partnerships; According to the type of industry: agriculture, forestry, animal husbandry and fishery, mining, manufacturing, electricity, gas and water production and supply, construction, transportation, storage and postal services, information transmission, computer services and software, wholesale and retail, accommodation and catering, finance, real estate, Leasing and business services, scientific research, technical services and geological exploration, water conservancy, environment and public facilities management, resident services and other services, health, social security and social welfare, culture, sports and entertainment, and others.
_Individual industry and commerce: As of the date of, there were _____ individual industry and commerce registered in accordance with the law in the city, with a registered capital of _____ _Ten thousand yuan. According to the type of industry: agriculture, forestry, animal husbandry and fishery, mining, manufacturing, electricity, gas and water production and supply, construction, transportation, storage and postal services, information transmission, computer services and software, wholesale and retail, accommodation and catering, finance, real estate, There are __ households in leasing and business services, __ households in scientific research, technical services and geological exploration, __ households in water conservancy, environment and public facilities management, __ households in resident services and other services, __ households in education, __ households in health, social security and social welfare. The source of this article is: __ households in culture, sports and entertainment industries of secretary stations, and __ households in others.
_. Specialized farmers' cooperatives: By the end of, there were __ specialized farmers' cooperatives registered in accordance with the law in the city, with a total of ____ contributions __Ten thousand yuan.
2、 Comparative analysis:
Chapter 6: Sample Text of Enterprise Statistical Analysis
[Keyword] Enterprise management; Statistical analysis; application
The Important Function of Statistical Analysis in Enterprise Management
The statistical analysis subject carries out quantitative and qualitative analysis by using appropriate and scientific statistical methods in combination with the actual characteristics of the object, which can be said to be a benign extension of the investigation, statistics and sorting work, running through the overall process of enterprise development, construction and management, thus relating to all aspects of enterprise economic management, playing an important role in control and standardization.
1. 1. Enterprise statistics and analysis give play to production plan management function
Enterprise statistical analysis is responsible for the comprehensive analysis and statistics of the completion of production order tasks and the planned target rate. By comparing the time progress with the overall completion rate, it can determine whether the enterprise's sorting production material flow is synchronized with the market demand, and find out the real bottleneck factors. By combining with the market demand and the enterprise's production process capabilities, it can effectively play the control function, Effectively reduce the waste of redundant and repetitive worthless operations, slowdown losses, and material waste in the process of enterprise production practice, reasonably control the enterprise's production costs, promote its efficient operation, and complete the handover of order production goods according to the time requirements, so as to comprehensively enhance the enterprise's reputation and integrity in the market competition.
1. 2. Enterprise statistical analysis of quality management effectiveness
The quality of products produced by an enterprise is a key link in its operation and development, and a magic weapon for an enterprise to emerge in the fierce market competition. Therefore, in the process of product production, we can determine the qualification rate and influencing factors for its product quality through statistical analysis, and then optimize the development of improvement plans, such as the improvement of production process and quality control standards, In order to meet the needs of customers, improve product quality and enterprise core competitiveness, comprehensive economic benefits and viability and other goals.
1. 3. Enterprise statistical analysis, market development and human resource management functions
Enterprise staff is one of the more active elements in its production process. In order to improve the efficiency of enterprise comprehensive management, we should maximize the motivation and comprehensive strength of enterprise staff team. In practical management, statistical analysis can be used to carry out detailed research on the composition of personnel ratio, the use of labor time, labor value-added productivity and other indicators, so as to standardize the enterprise structure allocation and total staff management, effectively improve and strengthen the incentive mechanism, maximize the labor potential of employees, activate the internal distribution of enterprises, and effectively improve the comprehensive labor productivity of enterprises, Effectively control labor cost input. The main body of the enterprise's business model focuses on the market, so we can carry out fluctuation and numerical analysis on its market share and coverage indicators, and then through effective evaluation to achieve R&D innovation, improve product quality, find management sales problems, develop effective marketing measures and strategies, launch a new round of market development for product sales, and expand the scope and region of enterprise development, Effectively improve the competitiveness and position of enterprises in the same industry.
Scientific application of statistical analysis and practice of enterprise management
2. 1. Build an information-based enterprise platform to reliably collect rich statistical information
In the information age, major enterprises should scientifically apply modern management technology to carry out information construction, comprehensively develop and utilize external and internal information resources in various links such as enterprise sales and production, so as to enhance the core competitiveness and comprehensive economic benefits of enterprises. Based on the fact that statistical analysis involves a wide range of information source collection, which is highly systematic and high-quality, we can make full use of the common characteristics of enterprise informatization construction and statistical analysis to organize, collect, use and analyze valuable information. Of course, there are some differences between the two, that is, the information-based enterprise system contains rich high-tech ideas, while enterprise statistics focuses more on the application of analysis methods and indicator systems. Based on this situation, we can effectively promote the complementary development of the two. For example, in the statistical analysis of enterprises, we can use modern information technology to provide timely, accurate and efficient external and internal information for enterprise development management. In addition, when applying the information enterprise platform to carry out statistical analysis work, we should build a statistical analysis tree based on specific analysis and statistical objectives, reasonably determine the analysis and statistical indicators that are highly oriented, operable and comparable, and carry out assessment, reward and punishment and functional division management for each statistical analysis work. Moreover, we should make full and maximum use of the advantageous information platform to analyze and sort out important statistical information, and promote the perfect integration of statistics related work and advanced management concepts of enterprises. With the development of the times, we should timely update the analysis and statistics concepts, and comprehensively innovate the work methods of statistical management.
2. 2. Broaden training channels and comprehensively improve the overall professional quality of enterprise statistical analysis team
Competent statistical analysis staff should master comprehensive professional statistical knowledge and economic management skills. They should not only consolidate computer and statistics related knowledge, but also have corresponding management knowledge and strong logical analysis and text comprehensive expression ability for the development of modern enterprises. At the same time, relevant personnel should fully understand the development of the enterprise itself, the characteristics of each business process and the corresponding functions of the department, so as to ensure that they can provide valuable reference information for the decision-making and management of the enterprise in the fastest state. In modern enterprise management, we should effectively use the training and construction platform to carry out basic knowledge and skills training for statistical staff, create a special and targeted training model for the actual development needs of enterprises, so that staff can fully master scientific statistical analysis thinking, specific practical methods and statistical analysis technology, that is, good data collection, accurate information processing Reasonably evaluate the statistical results and correctly apply them. At the same time, enterprise statistical analysis staff should also master the corresponding skilled skills, and be able to infiltrate the adaptability of control charts, sampling statistics, Pareto Charts, causal charts, histograms and other analysis and statistics technologies into enterprise management practice, so as to enhance the overall quality while effectively improving the development level of enterprise practice.
2. 3 Select scientific statistical analysis methods based on the adaptability of the enterprise's own development characteristics
At the level of application of statistical analysis methods, we should pay attention to our own use conditions and product analysis in the practice and development of enterprises, and avoid the isolation, one-sided and arbitrary application of statistical analysis methods. Fully understand that any kind of analysis and statistics method has its corresponding characteristics, existing characteristics and scope of application, but also inevitably contains some one-sided and limitations. Therefore, we can only create a positive effect of statistical analysis by reasonably selecting analysis methods based on enterprise development needs, construction status, setting levels, and product characteristics. Generally speaking, the common methods of statistical analysis include analysis of factors, indexes and differences, analysis of dynamic changes, comprehensive index analysis, correlation analysis and regression analysis. At the application level of comparative analysis, we should pay scientific attention to the comparability of the first indicator, and conduct a combined analysis of relative and absolute indicators. In the implementation of dynamic analysis, we should scientifically select base period indicators to ensure the authenticity, accuracy and rationality of statistical analysis.
epilogue
In short, the statistical analysis in the enterprise statistical system has a high added value, so only by improving the relevant operating mechanism and conducting scientific and accurate judgment and analysis on the basic information of the enterprise, can we give play to the scientific guiding effectiveness of the daily operation and production management of the enterprise, serve the improvement of the core competitiveness of the enterprise, and then promote its sustainable and comprehensive development.
[References]
[1] Gong Chunzi Thoughts on Building a Statistical Indicator System for Industrial Enterprises [J]. Shanghai Statistics, 2008 (6)
Chapter 7: Sample Text of Enterprise Statistical Analysis
[Key words] Statistical analysis; Financial management; Accounting doi: 10.3969/j. issn. 1673 - 0194.2013.10. 005
[CLC No.] F275 [Document Identification Code] A [Article No.] 1673 - 0194 (2013) 10 - 0011 - 02
1 Correlation between statistical analysis and financial management
In the economic field, statistical analysis and financial management are two important disciplines with strong applicability. From the application perspective, financial management is just the management of the information generated by the economic behavior of enterprises. Statistics not only covers the management of the corresponding information of economic behavior, but also includes the systematic management of information in various industries. It can be seen that the essence of financial management and statistical analysis is information management, and the relationship between them is very close in enterprise management. In the management process, their original data are the same, and they use data mutually. The information generated after completing their respective work can also be used or shared. Therefore, financial management and statistical analysis are complementary, and statistical analysis has been widely used in modern enterprise financial management.
2 Application of statistical analysis technology in financial management
2.1 Applying statistical dynamic analysis method in depreciation management of enterprise fixed assets
The depreciation method of fixed assets should be selected according to the actual situation of the enterprise. At the same time, the form of economic benefits of enterprise assets is also an important basis for selection. The selected method should be compatible with the form of exchange benefits. In the process of enterprise financial management, accounting personnel should estimate the service life and expected net residual value of assets generated when they are scrapped during asset depreciation. This requires accountants to have a certain financial basis. If the estimated value is too different from the reality, it will have a great impact on the net value of fixed assets on the balance sheet and the profit reflected in the income statement [1]. In addition, after the depreciation method is selected, it cannot be changed at will. This is one of the components of the enterprise's operating costs, and its importance for enterprise cost accounting is self-evident. If accountants can apply the statistical dynamic analysis method when estimating the depreciation of enterprise assets, the financial situation of the enterprise will be reflected more accurately and reasonably.
2.2 Applying the idea of statistical mean in the management of enterprise accounts receivable
Enterprise accounts receivable is the main part of enterprise income. In the process of enterprise operation, the sales link is affected by discount, return, bad debt and other factors, which has become a major problem in enterprise management. The method of accruing bad debts is usually chosen by the enterprise itself, which puts forward higher requirements for the professional quality of enterprise accountants. While accumulating rich work experience, they should also have keen judgment. The occurrence of bad debts will reduce the net realizable value, so accountants should estimate the bad debts at the end of the accounting period. If there is a possibility of bad debts, they should immediately evaluate the accounts receivable, and calculate the bad debt rate with statistical mean theory.
The calculation of bad debt rate based on statistical mean theory can improve the scientificity and rationality of this work. In the application of statistical theory, the average index and marker variation index are often used comprehensively. That is to say, the dispersion degree of the mark value in the enterprise's finance as a whole is closely related to the level of the bad debt rate. Therefore, the mark variation index can be used as a standard to measure whether the recovery of accounts is stable and balanced.
2.3 Application of statistical correlation regression model in enterprise loan liabilities
In order to maintain the smooth production and operation of enterprises, enterprises usually borrow different kinds of loans, resulting in borrowing liabilities. However, no matter how the borrowing method is, the corresponding interest should be paid. Based on this, when borrowing occurs, the future income of the enterprise should be estimated. After borrowing, if the income from borrowed funds is greater than the interest paid, the enterprise will make a profit; On the contrary, the amount of corporate debt will expand and the cash outflow will increase [2]. If in the process of borrowing, the market environment changes suddenly or the enterprise does not operate well, the moderate debt of the enterprise will become a heavy financial burden, and serious circumstances can lead to the bankruptcy of the enterprise. It can be seen from this that when borrowing, enterprises should have a reasonable and scientific estimate of their future business situation, market risk, product updates, etc., classify the situations that exist and will not change, and calculate the change of capital flow for each unit of change in the variable by statistical analysis of the possibility of changes in various factors, To improve the accuracy of estimates and provide managers with scientific basis for making business decisions.
3. Problems that should be paid attention to in the application of statistical analysis in financial management
3.1 Pay attention to the collection of accounting information
In our country, accounting information belongs to the internal information of enterprises and has the characteristics of being unable to be disclosed. In foreign countries, there is a special organization to collect and query the relevant information of enterprises. With the continuous development of China's economy and the increasingly standardized market behavior, China can learn from such information management methods abroad to build a specialized organization for information collection. This organization should be different from the Enterprise Statistics Department and the accounting firm, but conduct specialized and professional collection and analysis of accounting information, and provide corresponding services to the society. In the process of accounting information collection, various statistical methods should be comprehensively used. At the same time, data analysis software and calculation tools are also indispensable [3]. At present, China's information technology is developing very fast, but the degree of integration of statistical work and information technology needs to be improved, especially the incompatibility between the software's own characteristics and operability, which is one of the problems to be solved urgently. Therefore, during the development of statistical analysis and financial management software, it is necessary to consciously link up, so that the collection and analysis of accounting information become a set of simple system work.
3.2 Strengthen the correspondence between statistical analysis and financial management analysis
Statistical analysis is mainly used to make statistics and calculations on statistical indicators. The analysis object of financial management is financial information. The two are parallel and do not overlap in their respective fields. This kind of work is similar, but the work content does not overlap, which helps to improve the efficiency of enterprise statistical analysis and financial management. If the two contents intersect, it is easy to have different analysis results. In particular, the value indicators in the statistical analysis work have a certain dependence on the accounting work in the financial management, because the accounting is accurate, which is incomparable with other accounting methods. At the same time, the cost of obtaining indicator information from accounting information is also the lowest. Therefore, it is necessary to strengthen the disclosure of financial information, disclose financial forecast, income risk and other indicators, and effectively apply statistical analysis to financial management.
3.3 Strengthen the cooperation between accountants and statisticians
In terms of subjective factors, the statistical work of enterprises is deeply affected by the professional quality of statisticians and the allocation of human resources, which affects the realization of accurate and comprehensive goals of statistical analysis. At the same time, due to the impact of human resource cost factors, the financial management work of enterprises is also unsatisfactory. Based on this, it is necessary to divide the work between the statistical and accounting personnel, reasonably allocate the human resources, and make the staff of both parties be diligent in communication, learn from each other's strengths, and develop together. In addition, the training of all-round talents who are both good at statistics and accounting should be properly strengthened, so that the work of accounting and statistics can be properly integrated, and the quality of enterprise financial management can be improved.
4 Conclusion
This paper discusses the relationship between enterprise financial management and statistical analysis, as well as the application of statistical analysis in financial management, in order to provide some theoretical reference for the improvement of enterprise financial management. According to the current development situation of financial management, the application of statistical analysis to financial management has become the mainstream direction of financial work.
Main References
[1] Shi Shuna Application of statistical technology in enterprise financial management [J]. Journal of Taiyuan City Vocational and Technical College, 2013 (1): 56-57
Chapter 8: Sample Text of Enterprise Statistical Analysis
Key words: statistical analysis, production and operation, role management
1、 The Importance of Enterprise Statistical Analysis
Statistical analysis refers to a kind of research activity. The research method is statistical method, which uses quantitative and qualitative methods to analyze the actual characteristics of the objects to be studied. Statistical analysis is the last link in the whole statistical process. The other links are statistical design, statistical investigation and statistical sorting. At the same time, statistical analysis plays a very important role in statistical work and is an important work to analyze the obtained statistical data. With the application of statistical methods, corresponding production statistical tables are formulated. These production statistical tables reflect the data of production content, link these data, and conduct scientific analysis for the actual situation of the entire enterprise. On the basis of summarizing the past experience, guide the current work, and make a more reasonable plan for the future development direction. In the process of statistical analysis, statistical supervision is also carried out. Therefore, timely statistical analysis of enterprises can find problems in the production process more quickly and propose corrective measures in time. Statistical analysis is the basis of enterprise operation and management. If an enterprise wants to stand firm in the ever-changing market, it needs to comprehensively and truly master the information of its production and operation activities, as well as the market information related to its industry, region, country and even the world. This information is processed into statistical data. Through the analysis of these data, Provide basis for business management decision.
2、 The role of statistical analysis in enterprise production and operation
First, the role of statistical analysis in production. Production statistical analysis is the main step after statistical data processing. In the process of statistical data processing, it mainly provides semi-finished products for statistical work. In the process of statistical analysis, it can provide a final product for statistical work. The role of production statistical analysis and statistical tables is to complement each other. First, statistical tables can reflect the relationship between existing quantities in the production process, which only reflects an independent quantity. In the process of statistical analysis, what is reflected is only quantitative independence. In the process of production statistics and analysis, you can contact each process in production and summarize the production quantity and process in a dynamic way.
Secondly, statistical analysis is the guiding direction for operation. Through this production statistical analysis, the decision-makers need to analyze the statistical data, so as to grasp the key issues of business and find the direction of business development. Then, compare the production capacity in the production statistics table, and the production statistics analysis can go deep into each link of the operation. Unlike statistical indicators, it only reflects specific objects.
Finally, statistical analysis can help managers master the objective laws of production. In this process, the statistical table can reflect the results of production phenomena. According to the reaction to real life, the choice of objective laws of production can be obtained. Through a demonstration, statistical data can be combined with textual demonstration.
3、 How to make statistical analysis in production and operation
（1） Improve the comprehensive quality of statisticians
Statisticians are the main body engaged in statistical work. Statisticians with high quality will also complete their statistical analysis work well. The quality of statisticians is low, and the quality of their statistical analysis work is general. Therefore, enterprises should actively train the quality of statistical staff, and improving their quality is closely related to improving their work quality. To achieve this, we need to focus on two aspects. First, in terms of professional knowledge, actively organizing statisticians to learn professional knowledge and constantly organizing practical activities can not only improve the theoretical knowledge of statisticians, but also strengthen their ability to analyze and solve problems. Second, we should constantly strengthen the ideological and moral quality of statisticians, take the statistical method as the criterion, seek truth from facts, conduct statistical analysis with real statistical data, and propose conclusions that conform to the objective reality.
（2） Statistical Analysis of Enterprise Production Management
The cost and benefit of an enterprise is the focus of its operation, and the analysis of the cost level is the prerequisite for the market competitiveness of an enterprise. Through the factor analysis of the total amount, structure and unit price of direct materials, direct labor and other direct cost changes in the production process, and comparison with the target indicators, find out the differences, evaluate the implementation of the cost plan, propose improvement measures, carry out technical innovation and mining, promote the reduction of cost and improve the competitiveness of enterprises.
（3） Statistical analysis of enterprise production and operation results
The analysis of the enterprise's operating results is an important basis for the enterprise's managers to formulate business strategies. It mainly starts with the analysis of the enterprise's profit and loss, and uses the factor analysis method to analyze the difference between the operating income, operating costs, non operating income, investment income and the target profit, such as the impact of the unit price of product sales income, the quantity of product sales and other factors on the change of income. Many indicators such as profit, product output value, product quality, fixed assets, current assets, etc. should be considered when evaluating the business performance of enterprises. These variables also have ups and downs on the performance of enterprises. It is impossible to draw meaningful conclusions from a single statistical indicator,
Therefore, the principal component analysis method can be used to replace the original many variables with a small number of comprehensive variables to obtain a general indicator, which can be sorted and classified according to the general indicators, so as to find out the reasons that affect the economic benefits of the enterprise. Through analysis, it is beneficial for the enterprise to adjust the product structure in time, reduce the inventory of finished products, accelerate the capital turnover, and improve the profitability of the enterprise.
（4） Collect market information and improve information quality
For statistical data, authenticity and objectivity are the most basic requirements. To make a more correct decision, we need to have a full understanding of the direction and demand of market development. Only in this way can we occupy a certain market share in the fierce market. In this process, it is necessary to collect market information in a timely manner, ensure the accuracy of the information, and conduct statistical analysis according to the actual operation of the enterprise. The experience in the operation process of the enterprise is comprehensively analyzed, so as to find out some problems existing in the operation process of the enterprise and enable the enterprise to develop healthily.
（5） Improve the role of statistical analysis in product quality management
The guarantee of product quality needs the cooperation of many aspects, such as the cooperation of quality inspection and the evaluation of product quality. On the basis of the work of both, it provides important reference for the correction of product quality. Economic development requires enterprises to constantly improve product quality. To improve the quality, the following methods can be used, such as full factor test, partial factor test and Taguchi method. Then, through a series of tests and statistics, the reliability of the product is determined, which can be analyzed from two aspects: accelerated test and aging analysis.
（6） Establish statistical information network to improve the level of statistical analysis
Enterprises should make full use of computer information technology and establish statistical information networks to organically combine production, supply, sales, inventory, financial information and corresponding logistics, information flow and capital flow, such as using database technology Web technology, java technology, PHP programming technology, data integration technology and statistical technology establish an information platform with the database as the core to form a large module consisting of production data and analysis, consumption data and analysis, cost data and analysis, raw material inventory and analysis, finished product inventory and classification. Through this system, the analysis of production, consumption, cost and sales data is realized, Provide reliable, timely and accurate statistical analysis for the production, operation and management of enterprises.
4、 Conclusion
It can be seen from the above that statistical analysis can provide data for enterprise decision-making and, on the basis of data analysis, provide important guidance for the future development of enterprises. It can also provide sufficient supervision and guidance during the operation of the enterprise. To some extent, statistical analysis is an indispensable and important aspect in the process of production, operation and management of enterprises. The quality of statistical analysis is constantly improved and more statistical information is collected. At the same time, it is also necessary to constantly summarize the past experience, which can guide the work in the future, point out the direction for the development of the enterprise, and make a more reasonable plan for the future development. At the same time, on the basis of statistical analysis, statistical supervision is carried out. Therefore, enterprises should make timely statistics, constantly find problems in the production process, constantly correct these problems in a timely manner, and constantly propose countermeasures against these problems. In addition, it is also necessary to constantly innovate in the process of enterprise production, operation and management, so as to improve the statistical analysis method. The author puts forward several suggestions in this paper, hoping to provide reference for the development of statistics specialty in enterprises.
reference:
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Chapter 9: Sample Text of Enterprise Statistical Analysis
Reducing costs can improve profitability, enhance product competitiveness and expand market share. Cost control is a common problem faced by Chinese enterprises in the new era of commercial competition.
1、 Current situation of cost management in Chinese enterprises
First, many enterprises cannot correctly understand the connotation of cost management. Many enterprises tend to be more concerned about the turnover, do not know the true production cost and its composition and distribution, and blindly emphasize cost reduction, without considering the competitiveness of products, without carrying out cost-benefit analysis, and without combining cost management with the enterprise's strategy.
Second, the statistical analysis method in cost management is single. The reduction of production costs of an enterprise is related to its competitiveness and profitability. Only by comprehensively and detailedly analyzing the composition and distribution of enterprise costs with a variety of statistical analysis methods can specific methods be found to control and reduce the production costs of an enterprise.
Third, the traditional cost management mode has defects. Only on the basis of making an objective and fair evaluation of traditional cost management and absorbing advanced western cost management methods, can we correctly grasp the direction of cost management reform and provide reference for China's theoretical research and reform practice of cost management.
2、 Main Problems in Cost Management of Modern Enterprises
First, the enterprise cost management method is still relatively backward. At present, the trend of production development in the world is the production mode of small batch and multiple varieties, which is suitable for cost calculation by batch method. At present, only 5.7% of enterprises in China use the batch method to calculate costs, and the advanced activity-based costing and cost planning methods have not been popularized in enterprises.
Second, the enterprise cost management system is poor. The lack of research on the relationship between cost management methods can not form a systematic system of cost management methods. The introduction of new cost management methods leads to the abandonment of the original methods, which makes the cost management lack consistency; The traditional cost research is limited to the internal enterprise, lacking the thinking of strategic management.
Third, the cost management of enterprises can not meet the requirements of market concepts. Many enterprises divide and calculate the product cost according to the cost habit. By increasing the output, the fixed cost shared by the unit product can be reduced. As a result, enterprises unilaterally reduce product costs by increasing output regardless of market demand for products.
Fourth, the content and form of enterprise cost management theory is single. Many Chinese enterprises only pay attention to financial cost accounting and lack management cost accounting in the specific cost accounting; Pay attention to the accounting of production costs, while ignoring the accounting of costs in the process of product design and sales costs.
3、 Suggestions on cost management with statistical analysis method
The first is to use advanced statistical analysis methods. With first-hand data such as data and information, enterprises should also carry out scientific and effective calculation and analysis of these data, collect relevant data, so that scientific and effective statistical work can be carried out. This further requires enterprises to introduce statistics related theories and methods in the work process to scientifically manage production costs.
The second is to establish a systematic cost management model. Combine various statistical analysis methods organically to analyze all aspects of enterprise cost management comprehensively and carefully. Focus on solving macro problems, and then carefully solve small problems existing in the enterprise from small aspects. Systematically and step by step to reduce all aspects of cost management for a more comprehensive analysis.
