Definition, classification, sources and collection of data 1. industrial market research

The data of industrial market research refers to the basis and source of industrial market research and is the core asset of industrial market research. The data of industrial market research refers to all kinds of facts, figures, information and opinions about the industrial market obtained through various ways and channels in the process of industrial market research, which can be qualitative or quantitative, subjective or objective, structured or unstructured, historical or realistic, internal or external, it can be direct or indirect, it can be original or processed, it can be single or integrated, etc.

The classification and characteristics of the data of industrial market research depend on the purpose, object, scope, method and other factors of industrial market research. There is no unified standard and specification, and it needs to be selected and judged according to the specific situation and needs.

The source of data for industrial market research refers to the place and manner in which the data for industrial market research are generated and obtained, and is a determinant of the quality and efficiency of the data for industrial market research. The sources of data for industrial market research can be divided into two main categories, second-hand data and first-hand data.

Second-hand data refers to data that already exists and is collected, organized, and published by other people or institutions, such as government statistics, industry report data, media report data, web search data, social media data, competitor data, etc. First-hand data refers to the data designed, implemented and collected by industrial market researchers for specific industrial market research purposes, such as questionnaire survey data, interview data, observation data, experimental data, test data, etc.

Second-hand data and first-hand data have their own advantages and disadvantages. The advantages of second-hand data are easy to obtain, low cost, wide range, and good timeliness. The disadvantages are poor reliability, low correlation, low availability, and poor comparability. The advantages of first-hand data are high reliability, high correlation, high availability and good comparability, while the disadvantages are difficult to obtain, high cost, narrow scope and poor timeliness.

Industrial market researchers should consider the advantages and disadvantages of second-hand data and first-hand data according to the purpose, object, scope and method of industrial market research, and select and use appropriate data sources to ensure the quality and efficiency of industrial market research data.

The collection of industrial market research data refers to the process of obtaining and sorting out the data of industrial market research, and is the core link of the data of industrial market research. The collection of data for industrial market research needs to follow the following principles: first, to clarify the purpose and needs of the data, that is, to clearly know what data to collect, why to collect these data, how to use these data, in order to avoid collecting useless or excessive data, wasting time and resources.

The second is to select the appropriate data source and method, that is, according to the purpose and needs of the data, select the most suitable data source and method to ensure the quality and efficiency of the data.

The third is to ensure the validity and reliability of the data, that is, to ensure the authenticity, accuracy, completeness, consistency and timeliness of the data, so as to improve the reliability and validity of the data.

The fourth is to ensure the security and legality of the data, that is, to comply with the confidentiality, privacy, compliance, and morality of the data to avoid data leakage, abuse, infringement, and violation of the law.

The fifth is to ensure the organization and availability of data, that is, to effectively classify, encode, store, backup, update, etc., to facilitate data retrieval, analysis, display, application, etc. Industrial market researchers should formulate and implement reasonable data collection plans and procedures according to the principles of data collection of industrial market research to ensure the quality and effectiveness of data collection of industrial market research.

Processing, analysis, presentation and application of data 2. industrial market research

The processing of industrial market research data refers to the process of cleaning, conversion, integration and extraction of industrial market research data, which is the core link of industrial market research data. The processing of data in industrial market research needs to follow the following principles: first, to ensure the quality and validity of the data, that is, to remove errors, duplication, missing, anomalies, etc. in the data, so that the data meet the requirements and standards of data analysis.

The second is to ensure the consistency and comparability of the data, that is, to unify the format, unit, standard, dimension, etc. of the data, so that the data can be effectively compared and correlated.

The third is to ensure the simplicity and usefulness of the data, that is, to eliminate redundancy, irrelevance, invalidity, etc. in the data, so that the data can reflect the nature and characteristics of the data.

The fourth is to ensure the security and legality of the data, that is, to comply with the confidentiality, privacy, compliance, and morality of the data to avoid data leakage, abuse, infringement, and violation of the law.

The fifth is to ensure the scalability and updatability of the data, that is, to make the data can be effectively expanded and updated according to the needs and changes of data analysis. Industrial market researchers should formulate and implement reasonable data processing plans and processes according to the principles of data processing of industrial market research, so as to ensure the quality and effect of data processing of industrial market research.

The analysis of industrial market research data refers to the process of description, interpretation, inference and prediction of industrial market research data, which is the core link of industrial market research data. The analysis of data in industrial market research needs to follow the following principles: first, to clarify the purpose and problems of the data, that is, to clearly know what questions to answer with the data, what problems to solve, and what decisions to support, in order to determine the direction and focus of data analysis.

The second is to select the appropriate data methods and techniques, that is, according to the purpose and problem of the data, select the most suitable data methods and techniques, such as statistical analysis, causal analysis, correlation analysis, regression analysis, cluster analysis, classification analysis, correlation analysis, predictive analysis and so on.

The third is to ensure the validity and reliability of the data, that is, to ensure the authenticity, accuracy, completeness, consistency and timeliness of the data, so as to improve the reliability and validity of the data.

The fourth is to ensure the security and legality of the data, that is, to comply with the confidentiality, privacy, compliance, and morality of the data to avoid data leakage, abuse, infringement, and violation of the law.

The fifth is to ensure the interpretation and understandability of the data, that is, to effectively explain and explain the analysis results of the data, so that the analysis results of the data can be correctly understood and applied. Industrial market researchers should formulate and implement reasonable data analysis plans and processes according to the principles of data analysis of industrial market research, so as to ensure the quality and effect of data analysis of industrial market research.

The display of industrial market research data refers to the process of visualization, reporting and communication of industrial market research data, which is the core link of industrial market research data. The presentation of data in industrial market research needs to follow the following principles: first, to clarify the audience and objectives of the data, that is, to clearly know who to show the data to and for what purpose to show the data, in order to determine the content and form of the data display.

The second is to select the appropriate data tools and methods, that is, according to the audience and target of the data, select the most suitable data tools and methods, such as charts, graphs, images, animations, videos, audio, text, reports, presentations, discussions, etc.

The third is to ensure the validity and reliability of the data, that is, to ensure the authenticity, accuracy, completeness, consistency and timeliness of the data, so as to improve the reliability and validity of the data.

The fourth is to ensure the security and legality of the data, that is, to comply with the confidentiality, privacy, compliance, and morality of the data to avoid data leakage, abuse, infringement, and violation of the law.

The fifth is to ensure the attractiveness and influence of the data, that is, to effectively beautify and optimize the data, so that the data has visual, auditory, emotional and other aspects of attractiveness and influence, in order to improve the attention and recognition of the data. Industrial market researchers should formulate and implement reasonable plans and procedures for data display according to the principles of data display of industrial market research, so as to ensure the quality and effect of data display of industrial market research.

The application of data in industrial market research refers to the process of utilization and transformation of data in industrial market research, and is the core link of data in industrial market research. The application of data in industrial market research needs to follow the following principles: first, to clarify the value and significance of the data, that is, to clearly know what value and significance the data can provide for the purpose and problem of industrial market research. for example, data can help industrial enterprises understand the market environment, market demand, market competition, market opportunities, etc., and provide market insight, market strategy, market decision, etc.

The second is to choose the appropriate data utilization and transformation methods and ways, that is, according to the value and significance of the data, choose the most suitable data utilization and transformation methods and ways, such as data can be used to formulate strategies, expand the market, enhance competitiveness, innovative products, optimize services and so on.

The third is to ensure the validity and reliability of the data, that is, to ensure the authenticity, accuracy, completeness, consistency and timeliness of the data, so as to improve the reliability and validity of the data.

The fourth is to ensure the security and legality of the data, that is, to comply with the confidentiality, privacy, compliance, and morality of the data to avoid data leakage, abuse, infringement, and violation of the law.

The fifth is to ensure the continuity and updating of the data, that is, to make the data effectively continuous and updated according to the changes and needs of industrial market research, so as to improve the timeliness and adaptability of the data. Industrial market researchers should formulate and implement reasonable data application plans and processes according to the principles of industrial market research data application, so as to ensure the quality and effect of industrial market research data application.

Definition, Principles, Framework and Construction of the Logic of 3. Industrial Market Research

The logic of industrial market research refers to the process and method of thinking and reasoning of industrial market research, which is the core element of industrial market research and the decisive factor of the quality and effect of industrial market research. The logic of industrial market research refers to the effective organization, connection, derivation and verification of the data, problems, assumptions, argumentation and conclusions of industrial market research through the use of various logical rules and methods in the process of industrial market research, so as to form a clear, reasonable and powerful thinking and reasoning of industrial market research.

The definition and characteristics of the logic of industrial market research depend on the purpose, object, scope, method and other factors of industrial market research, there is no unified standard and specification, need to be selected and judged according to the specific situation and needs.

The principle of the logic of industrial market research refers to the basic, universal and necessary rules and requirements of the logic of industrial market research, which is the decisive factor of the quality and efficiency of the logic of industrial market research. The principles of the logic of industrial market research include the following aspects: first, consistency, that is, the logic of industrial market research should maintain internal consistency and external consistency, and avoid contradictory or contradictory logic.

The second is completeness, that is, the logic of industrial market research should maintain complete completeness and full completeness, and avoid missing or insufficient logic.

Third, simplicity, that is, the logic of industrial market research to maintain simple simplicity and necessary simplicity, to avoid complex or redundant logic.

The fourth is effectiveness, that is, the logic of industrial market research should maintain correct effectiveness and strong effectiveness, and avoid wrong or weak logic.

The fifth is adaptability, that is, the logic of industrial market research should maintain flexible adaptability and innovative adaptability, and avoid rigid or outdated logic. Industrial market researchers should formulate and implement reasonable logical plans and processes according to the principles of the logic of industrial market research to ensure the quality and effectiveness of the logic of industrial market research.

The logical framework of industrial market research refers to the basic, common and standard structure and form of the logic of industrial market research, which is the basis and guidance for the organization and expression of the logic of industrial market research. The framework of the logic of industrial market research includes the following aspects: First, the problem, that is, the logic of industrial market research should clarify and highlight the problem of industrial market research, that is, the problem to be answered or solved, is the starting point and purpose of the logic of industrial market research.

The second is the hypothesis, that is, the logic of industrial market research to propose and verify the hypothesis of industrial market research, that is, the possible answers or solutions to the problems of industrial market research, is the basis and premise of the logic of industrial market research.

Third, the argument, that is, the logic of industrial market research to carry out and support the argument of industrial market research, that is, the use of data, facts, theories, laws, etc. to prove or refute the correctness or error of the assumptions of industrial market research, is the core and key of the logic of industrial market research.

The fourth is the conclusion, that is, the logic of industrial market research should draw and summarize the conclusion of industrial market research, that is, the final answer or solution to the problem of industrial market research, which is the result and destination of the logic of industrial market research.

Fifth, it is suggested that the logic of industrial market research should propose and implement the recommendations of industrial market research, that is, according to the conclusions of industrial market research, the specific, feasible and useful actions or decisions of users or audiences of industrial market research are given, which is an extension and application of the logic of industrial market research. Industrial market researchers should formulate and implement reasonable logical plans and processes according to the logical framework of industrial market research to ensure the quality and effectiveness of the organization and expression of the logic of industrial market research.

The construction of the logic of industrial market research refers to the process of the formation and development of the logic of industrial market research, which is the core link of the logic of industrial market research. The construction of the logic of industrial market research needs to follow the following steps: first, to determine the problem, that is, according to the purpose, object, scope, method and other factors of industrial market research, to determine the problem of industrial market research, that is, to answer or solve the problem, in order to determine the starting point and purpose of the logic of industrial market research.

The second is to put forward the hypothesis, that is, according to the problem of industrial market research, put forward the hypothesis of industrial market research, that is, the possible answer or solution to the problem of industrial market research, in order to determine the logical basis and premise of industrial market research.

The third is to carry out argumentation, that is, to carry out the argumentation of industrial market research according to the assumptions of industrial market research, that is, to prove or refute the correctness or error of the assumptions of industrial market research with data, facts, theories, laws, etc., in order to determine the core and key of the logic of industrial market research.

The fourth is to draw a conclusion, that is, to draw the conclusion of industrial market research according to the argument of industrial market research, that is, the final answer or solution to the problem of industrial market research, so as to determine the logical result and destination of industrial market research.

The fifth is to make recommendations, that is, to make recommendations for industrial market research based on the conclusions of industrial market research, that is, to give specific, feasible and useful actions or decisions for users or audiences of industrial market research to determine the extension and application of the logic of industrial market research. Industrial market researchers should formulate and implement reasonable logical plans and processes according to the steps of the construction of the logic of industrial market research to ensure the quality and effect of the construction of the logic of industrial market research.

4. the relationship, role and value of data and logic in industrial market research

The data and logic of industrial market research are the core elements of industrial market research and the determinant of the quality and effect of industrial market research. There is a close relationship, important role and great value between the data and logic of industrial market research. The relationship, role and value between data and logic in industrial market research include the following aspects: first, data is the basis and premise of logic, and logic is the core and key of data, that is, there is no logic without data, and there is no value of data without logic.

Second, data is the basis and support of logic, logic is the interpretation and explanation of data, that is, data provides evidence and reason for logic, and logic provides meaning and purpose for data.

Third, data is the source and input of logic, logic is the output and result of data, that is, data provides material and information for logic, and logic provides conclusions and suggestions for data.

Fourth, data is the verification and verification of logic, logic is the improvement and optimization of data, that is, data provides feedback and evaluation for logic, and logic provides correction and improvement for data.

Fifth, data is the extension and application of logic, logic is the transformation and utilization of data, that is, data provides scenarios and requirements for logic, and logic provides solutions and actions for data. Industrial market researchers should formulate and implement reasonable data and logic plans and processes based on the relationship, role and value between the data and logic of industrial market research to ensure the quality and effectiveness of the data and logic of industrial market research.

Conclusion

Industrial market research is an important basis and support for industrial enterprises to formulate strategies, expand markets and enhance competitiveness. The data and logic of industrial market research are the core elements of industrial market research and the determinant of the quality and effect of industrial market research.

Through the analysis of the concepts, characteristics, methods and cases of the data and logic of industrial market research, this paper analyzes the importance and practicability of the data and logic of industrial market research for you, including the definition, classification, source and collection of the data of industrial market research, the processing, analysis, display and application of the data of industrial market research, and the definition, principle, framework and construction of the logic of industrial market research, the relationship, role and value of data and logic of industrial market research are hoped to provide guidance and reference for practitioners and users of industrial market research and help them improve the level and effect of industrial market research.