The determination and significance of 1. enterprise research

Enterprise research refers to the process of collecting, organizing, analyzing and evaluating the situation and behavior of its existing or potential benchmark enterprises in order to obtain valuable information and insights, so as to formulate effective competitive strategies. The significance of corporate research is mainly reflected in the following aspects:

Help enterprises to understand the market environment, identify the competitive situation, predict the competitive trend, grasp the competitive opportunity.

Help enterprises find their own and benchmarking enterprise strengths and weaknesses, identify gaps and potential, enhance competitiveness.

Help enterprises to analyze the strategic intention of benchmarking enterprises, predict the possible actions of benchmarking enterprises, and formulate effective countermeasures.

Help enterprises to learn the successful experience of benchmarking enterprises, learn from the excellent practices of benchmarking enterprises, and innovate competition models.

Evaluation and Optimization Framework for 2. Enterprise Research

The evaluation and optimization of enterprise research is a continuous cycle process, which includes the following four steps:

Determine the assessment objectives: The assessment objectives are the results or effects to be obtained through the assessment, which determine the basis and criteria for the assessment. Assessment objectives should be clear, quantifiable, comparable and operable. Evaluation objectives can be determined from the following aspects:

The purpose of enterprise research: the purpose of enterprise research refers to the reason and intention of enterprise research, which determines the direction and focus of enterprise research. The purpose of enterprise research can be determined according to the strategic needs and problems of the enterprise, for example, entering new markets, developing new products, coping with competitive threats, etc.

Content of enterprise research: The content of enterprise research refers to the information and data of benchmarking enterprises to be collected and analyzed by enterprises, which determines the scope and depth of enterprise research. The content of enterprise research can be determined according to the characteristics and behavior of the benchmarking enterprise, for example, the background, objectives, strategies, resources, capabilities, strengths, weaknesses, performance, trends, etc. of the benchmarking enterprise.

The method of enterprise research: The method of enterprise research refers to the tools and techniques used by enterprises to collect and analyze benchmark enterprise information, which determines the efficiency and accuracy of enterprise research. The method of enterprise research can be determined according to the source and type of information, for example, first-hand information and second-hand information, qualitative information and quantitative information, public information and non-public information.

The process of enterprise research: the process of enterprise research refers to the steps and sequence of enterprise research, which determines the logic and system of enterprise research. The process of enterprise research can be determined according to the stage of information collection and analysis, for example, determining the scope of benchmarking enterprises, collecting benchmarking enterprise information, analyzing benchmarking enterprise information, evaluating benchmarking enterprise information, and formulating competitive strategies.

Results of enterprise research: The results of enterprise research refer to the information and insights obtained by enterprises through enterprise research, which determines the value and benefits of enterprise research. The results of enterprise research can be determined according to the quality and application of the information, for example, the completeness, accuracy, timeliness, relevance, credibility of the information, and the way it is presented, delivered, and used.

Selection of evaluation methods: Evaluation methods refer to the tools and techniques used to evaluate the effectiveness and quality of corporate research, which determine the reliability and validity of the evaluation. The evaluation method should be reasonable, scientific, objective and flexible. The evaluation method can be selected from the following aspects:

Evaluation indicators: Evaluation indicators are specific criteria used to measure the effectiveness and quality of enterprise research, which determine the basis and focus of the evaluation. The evaluation indicators should be consistent with the evaluation objectives and have the characteristics of observability, measurability, comparability and controllability. Evaluation indicators can be selected according to the purpose, content, methods, processes and results of enterprise research, for example, the quantity, quality, timeliness, relevance, credibility of information, as well as the depth, breadth, angle and innovation of information analysis, as well as the presentation, delivery and use of information.

Assessment methodology: Assessment methodology refers to the specific tools and techniques used to calculate and analyze assessment indicators, which determine the methodology and techniques of assessment. The evaluation method should match the evaluation index and have the characteristics of feasibility, effectiveness, objectivity and flexibility. The evaluation method can be selected according to the type and characteristics of the information, for example, qualitative evaluation and quantitative evaluation, subjective evaluation and objective evaluation, self-evaluation and other evaluation, individual evaluation and comprehensive evaluation, etc.

Evaluation data: Evaluation data refers to the specific information and evidence used to support and prove the results of the assessment, which determines the credibility and persuasiveness of the assessment. The evaluation data should be compatible with the evaluation method and have the characteristics of accessibility, processability, comparability and interpretability. The evaluation data can be selected according to the source and form of the information, for example, internal data and external data, raw data and processed data, text data and chart data, numerical data and text data, etc.

Evaluation Report: An evaluation report is a specific document and form used to present and communicate the results of an evaluation, which determines the readability and usability of the evaluation. The assessment report should be consistent with the assessment objectives and should be concise, clear, complete and normative. The evaluation report may be selected according to the content and structure of the information, e.g., title, summary, table of contents, body, conclusion, recommendation, appendix, etc.

Implementation evaluation: Implementation evaluation refers to the process of evaluation calculation and analysis according to evaluation methods and data, which determines the actual operation and implementation of evaluation. The implementation evaluation should have the characteristics of operability, controllability, traceability and improvement. Implementation assessment can be carried out from the following aspects:

Collecting evaluation data: Collecting evaluation data refers to the process of obtaining the information and evidence required for evaluation from various channels and methods, which determines the data basis and quality of evaluation. The collection of assessment data should follow the following principles:

Purpose: The collection of evaluation data should be determined according to the evaluation objectives and indicators, avoiding the collection of irrelevant or duplicate data.

Validity: The collection and evaluation data should ensure the authenticity, accuracy, timeliness and completeness of the data, and avoid the distortion or lack of data.

Legitimacy: The collection of evaluation data should comply with relevant laws and ethics, respect the source and owner of the data, and avoid data infringement or leakage.

Economic: The collection and evaluation data should consider the cost and benefit of the data, optimize the source and method of the data, and avoid the waste or inefficiency of the data.

Processing evaluation data: Processing evaluation data refers to the process of sorting, summarizing, classifying, filtering, transforming, etc. of the collected data, which determines the availability and analysiability of the evaluated data. The following principles should be followed in processing assessment data:

Systematic: The evaluation data should be processed in accordance with a certain logic and sequence, and the framework and structure of the data should be established to avoid confusion or omission of data.

Simplicity: Processing evaluation data should remove data redundancy and noise, extract the core and essence of the data, and avoid complexity or verbosity of the data.

Consistency: The processing of evaluation data should maintain the uniformity of data formats and standards, eliminate data differences and contradictions, and avoid data inconsistencies or incompatibilities.

Flexibility: The processing of evaluation data should be adjusted and modified according to the needs and changes of the evaluation, increase the diversity and adaptability of the data, and avoid the rigidity or solidification of the data.

Analysis and evaluation data: Analysis and evaluation data refers to the process of calculating, comparing, summarizing, reasoning and other operations on the processed data using various tools and techniques, which determines the value and insight of the data evaluated. The analysis and evaluation of data should follow the following principles:

Scientific: The analysis and evaluation of data should be based on facts and evidence, using reasonable and effective methods, and avoiding subjective and biased influence.

Objectivity: The analysis and evaluation data should be carried out from multiple angles and dimensions, taking into account the influence of various factors and conditions, and avoiding one-sided and limited perspectives.

Innovativeness: Analyzing and evaluating data should seek new discoveries and implications, raise new questions and assumptions, and avoid old and mediocre thinking.

Logicality: Analyzing and evaluating data should follow a certain process of thinking and argumentation, establishing connections and relationships between data, and avoiding errors and fallacious reasoning.

Evaluation of evaluation data: Evaluation of evaluation data refers to the process of judging, evaluating and summarizing the analyzed data according to the evaluation indicators and standards, which determines the significance and conclusion of the evaluation data. The evaluation of data should follow the following principles:

Comparability: The evaluation assessment data should be compared with other data or standards to highlight the strengths and weaknesses of the data and to avoid isolation or meaninglessness of the data.

Credibility: the evaluation data should be fully based and proved, explain the source and method of the data, and avoid the falsehood or unreliability of the data.

Usability: The evaluation evaluation data should have a clear purpose and intent, guide the application and utilization of the data, and avoid the uselessness or waste of the data.

Improvability: The evaluation and evaluation data should have clear advantages, disadvantages and problems, and propose improvement and perfection of the data to avoid stagnation or regression of the data.

Optimization research: Optimization research refers to the process of improving and improving the purpose, content, methods, processes and results of enterprise research according to the evaluation results and feedback, which determines the continuity and progress of enterprise research. Optimization research should be sustainable, iterative, learnable and innovative. Optimization research can be carried out from the following aspects:

Revision Research Purpose: Revision Research Purpose refers to the process of adjusting and modifying the reasons and intentions of enterprise research based on evaluation results and feedback, which determines the direction and focus of enterprise research. The following principles should be followed to amend the purpose of the survey:

Adaptability: The purpose of the revised research should be based on changes in the market environment and competitive situation, and the needs and problems of enterprise research should be adjusted in a timely manner to avoid the lag or disconnection of enterprise research.

Clarify: The purpose of the revised research should clarify the primary and secondary objectives of the enterprise research, as well as the priorities and correlations between the objectives, to avoid ambiguity or confusion in the enterprise research.

Realizability: The purpose of revising the research should consider the feasibility and difficulty of the enterprise research, as well as the resources and conditions of the enterprise research, so as to avoid the impracticality or inoperability of the enterprise research.

Measurability: The purpose of the revised research should set specific indicators and criteria for enterprise research, as well as the duration and stage of enterprise research, to avoid unevaluable or uncontrollable enterprise research.

Improving the content of research: Improving the content of research refers to the process of supplementing and updating the information and data of enterprise research according to the evaluation results and feedback, which determines the scope and depth of enterprise research. Improve the research content should follow the following principles:

Completeness: Improve the research content should cover all aspects and levels of benchmarking enterprises, including the background, objectives, strategies, resources, capabilities, strengths, weaknesses, performance, trends, etc. of benchmarking enterprises, so as to avoid one-sided or incomplete research.

Relevance: Improve the research content should match the purpose and indicators of enterprise research, select information and data that are valuable and meaningful to enterprise research, and avoid irrelevant or redundant enterprise research.

Timeliness: Improve the research content should be in line with the latest situation and behavior of benchmarking enterprises, timely access to and update the information and data of benchmarking enterprises, to avoid the enterprise research out of date or invalid.

In-depth: To improve the research content, we should conduct in-depth analysis and interpretation of the information and data of benchmarking enterprises, reveal the nature and laws of benchmarking enterprises, and avoid the superficiality or appearance of enterprise research.

Improving research methods: Improving research methods refers to the process of optimizing and innovating the tools and techniques of enterprise research based on evaluation results and feedback, which determines the efficiency and accuracy of enterprise research. Improving research methods should follow the following principles:

Effectiveness: To improve research methods, tools and techniques that can effectively collect and analyze benchmarking enterprise information should be selected to improve the quality and effectiveness of enterprise research and avoid ineffective or inefficient enterprise research.

Diversity: Improving research methods should use a variety of different tools and techniques to increase the perspective and dimension of corporate research and avoid a single or lack of corporate research.

Innovation: to improve the level and ability of enterprise research and to avoid the old or backward enterprise research.

Adaptability: The improved research method should be adjusted and adapted according to the characteristics and changes of benchmarking enterprise information, enhance the flexibility and adaptability of enterprise research, and avoid the rigidity or solidification of enterprise research.

Standardized research process: Standardized research process refers to the process of planning and arranging the steps and sequence of enterprise research according to the evaluation results and feedback, which determines the logic and systematicness of enterprise research. Standardized research process should follow the following principles:

Clarity: the standard research process should clarify each stage and link of enterprise research, as well as the relationship and transformation between stages and links, so as to avoid confusion or unclear enterprise research.

Coherence: Standardized research processes should maintain the consistency and interconnectedness of corporate research, as well as the matching of inputs and outputs of corporate research, to avoid fragmentation or incoherence in corporate research.

Efficiency: Standardizing the research process should optimize the allocation and utilization of time and resources for corporate research, as well as the ways and means of collaboration and communication for corporate research to avoid waste or inefficiency in corporate research.

Controllability: Standardizing the research process should set the mechanisms and means of supervision and control of enterprise research, as well as the prevention and resolution of risks and problems of enterprise research, so as to avoid out-of-control or uncontrollable enterprise research.

Enhancing research results: Enhancing research results refers to the process of presenting and transmitting information and insights from corporate research based on evaluation results and feedback, which determines the value and benefits of corporate research. The following principles should be followed to improve the research results:

Readability: The results of the promotion research should use concise, clear, complete and standardized language and format, with appropriate tables and attachments, to present the information and insights of enterprise research, and avoid the complexity, ambiguity, incompleteness or non-standard of enterprise research.

Usability: Improving research results should use appropriate methods and channels, as well as timely timing and frequency, to convey information and insights from corporate research and avoid untimely or inadequate corporate research.

Credulity: To improve the research results, we should provide sufficient basis and evidence, as well as appropriate comments and explanations, to support and confirm the information and insights of enterprise research, and avoid the falsehood or unreliability of enterprise research.

Feasibility: To improve the research results, specific suggestions and plans, as well as feasible measures and steps, should be put forward to guide and promote the application and utilization of information and insights of enterprise research, so as to avoid the uselessness or waste of enterprise research.

A Case Study of Evaluation and Optimization of 3. Enterprise Research

In order to better illustrate the framework and methods of evaluation and optimization of enterprise research, this paper will combine some enterprise research cases provided by Shangpu Consulting Company to show the specific application and effect of evaluation and optimization. Shangpu Consulting Company is a professional strategic consulting company, providing customized enterprise research services for customers from all walks of life, helping customers understand the competitive environment, formulate effective competitive strategies, and enhance competitiveness. Here are some examples of corporate research from Champ Consulting:

Case 1: An internationally renowned automobile manufacturer plans to enter the Chinese market. It needs to understand the competitive landscape of the Chinese automobile market, as well as the situation and strategies of major benchmark companies, in order to formulate appropriate market entry strategies. Shangpu Consulting provided the following corporate research services to this client:

Research purpose: to understand the scale, structure, trends and characteristics of China's automobile market, as well as the share, advantages, disadvantages, strategies and trends of major benchmark enterprises, so as to provide basis and guidance for customers to formulate effective market entry strategies.

Research content: collect and analyze the following information and data:

Overview of China's automotive market: including market size, growth, distribution, segmentation, consumers, policies, etc.

Benchmarking enterprises in China's automobile market: including the scope, quantity, type and characteristics of benchmarking enterprises.

Major benchmarking enterprises in China's automobile market: including the background, objectives, strategies, resources, capabilities, strengths, weaknesses, performance and trends of benchmarking enterprises.

Methodology: Use the following tools and techniques:

First-hand information: Get first-hand information and data by visiting relevant institutions, enterprises, experts, consumers, etc. in the Chinese auto market.

Qualitative analysis: Through the use of SWOT analysis, Porter five forces analysis, value chain analysis, etc., the benchmark enterprise information and data for qualitative analysis and interpretation.

Quantitative analysis: through the use of statistical analysis, regression analysis, cluster analysis, etc., the benchmark enterprise information and data for quantitative calculation and comparison.

Research process: follow the following steps and sequence:

Determine the scope of benchmarking enterprises: according to the objectives and needs of customers, as well as the characteristics of China's automobile market, determine the scope and standards of benchmarking enterprises, and select the main benchmarking enterprises.

Collect benchmarking enterprise information: According to the characteristics and behavior of benchmarking enterprises, collect relevant information and data of benchmarking enterprises from various channels and methods.

Analysis of benchmarking enterprise information: according to the types and characteristics of benchmarking enterprise information and data, the use of appropriate tools and technology, the benchmarking enterprise information and data calculation, comparison, induction, reasoning and other operations.

Evaluation of benchmarking enterprise information: according to the purpose and indicators of enterprise research, as well as the quality and application of the information and data of benchmarking enterprises, the information and data of benchmarking enterprises are judged, evaluated and summarized.

Formulate competitive strategy: according to the information and insight of benchmarking enterprises, as well as the objectives and needs of customers, put forward appropriate competitive strategies and suggestions to guide customers to enter the Chinese automobile market.

Findings: Presented and delivered in the following ways and forms:

Research Report: In written form, using concise, clear, complete and standardized language and format, as well as appropriate charts and attachments, presenting information and insights from corporate research, including title, summary, table of contents, body, conclusions, recommendations, appendices, etc.

Research presentation: in oral form, using vivid, interesting, powerful and persuasive language and expression, as well as beautiful slides and videos, to convey information and insights of enterprise research, including background, purpose, content, methods, processes, results, etc.

Research feedback: in the form of interaction, using friendly, sincere, professional and cooperative attitude and way, communicate and communicate with customers, obtain customer opinions and suggestions, as well as customer satisfaction and evaluation.

Research and evaluation: according to the following indicators and methods:

Evaluation indicators: including the following aspects:

Information integrity: refers to whether the information of the enterprise research covers all aspects and levels of the benchmarking enterprise, and whether the information of the enterprise research is missing or omitted.

Accuracy of information: refers to whether the information researched by the enterprise conforms to the real situation and behavior of the benchmarking enterprise, and whether the information researched by the enterprise has errors or distortions.

Timeliness of information: refers to whether the information of the enterprise research is consistent with the latest situation and behavior of the benchmark enterprise, and whether the information of the enterprise research is lagging or outdated.

Relevance of information: refers to whether the information of enterprise research matches the purpose and index of enterprise research, and whether the information of enterprise research is valuable and meaningful.

Credibility of information: refers to whether the information of enterprise research has sufficient basis and proof, and whether the information of enterprise research has a description of the source and method.

The depth of analysis of information: refers to whether the information of enterprise research has in-depth analysis and interpretation, and whether the information of enterprise research has the essence and law revealed.

The breadth of information analysis: refers to whether the information of enterprise research is multi-angle and multi-dimensional analysis, and whether the information of enterprise research has factors and conditions to consider.

The analytical perspective of information: refers to whether the information of enterprise research has new discoveries and implications, and whether the information of enterprise research has problems and assumptions.

Analytical innovation of information: refers to whether the information of enterprise research has the use of new or improved tools and technologies, and whether the information of enterprise research has the level and ability to improve.

Presentation of information: refers to whether the information of the enterprise research has concise, clear, complete and standardized language and format, as well as the use of appropriate charts and attachments.

The way of information transmission: refers to whether the information studied by the enterprise has the appropriate way and channel, as well as the choice of timely timing and frequency.

How information is used: refers to whether the information researched by the enterprise has a clear purpose and intention, as well as specific suggestions and proposals.

Assessment methods: including the following aspects:

Qualitative assessment: Through the use of SWOT analysis, Porter's five forces analysis, value chain analysis, etc., the information of enterprise research is qualitatively analyzed and evaluated to understand the strengths and weaknesses of the benchmarking enterprise, as well as the strategic intentions and trends of the benchmarking enterprise.

Quantitative evaluation: Through the use of statistical analysis, regression analysis, cluster analysis, etc., the information of enterprise research is quantitatively calculated and evaluated to compare the performance and level of benchmarking enterprises, as well as the differences and relationships of benchmarking enterprises.

Subjective evaluation: Through the use of self-evaluation and other evaluation, the information of enterprise research is subjectively evaluated to reflect the satisfaction and evaluation of enterprise research, as well as the opinions and suggestions of enterprise research.

Objective evaluation: Through the use of standards and indicators, the information of enterprise research is objectively evaluated to measure the effectiveness and quality of enterprise research, as well as the advantages and disadvantages and problems of enterprise research.

Individual evaluation: a separate evaluation of the purpose, content, methods, processes and results of enterprise research to analyze the performance and level of each aspect of enterprise research, as well as the advantages and disadvantages and differences of each aspect of enterprise research.

Comprehensive evaluation: a comprehensive evaluation of the purpose, content, methods, processes and results of enterprise research to summarize the overall effectiveness and quality of enterprise research, as well as the overall advantages, disadvantages and problems of enterprise research.

Evaluation data: including the following aspects:

Internal data: by collecting and analyzing the company's own data, such as the time, cost, personnel, resources, etc. of enterprise research, to evaluate the economy and efficiency of enterprise research.

External data: Assess the credibility and effectiveness of corporate research by collecting and analyzing customer and third-party data, such as feedback, evaluation, satisfaction, and effectiveness of corporate research.

Raw data: by collecting and analyzing the original information and data of enterprise research, such as the background, objectives, strategies, resources, capabilities, strengths, weaknesses, performance, trends, etc. of benchmarking enterprises, to evaluate the completeness and accuracy of enterprise research.

Processing data: By collecting and analyzing the processing information and data of enterprise research, such as the analysis, evaluation, summary and suggestion of benchmarking enterprises, the relevance and depth of enterprise research are evaluated.

Text data: Assess the readability and usability of enterprise research by collecting and analyzing information and data in the form of text of enterprise research, such as enterprise research reports, presentations, feedback, etc.

Chart data: Assess the visibility and comprehensibility of enterprise research by collecting and analyzing information and data in the form of charts, attachments, videos, etc. of enterprise research.

Assessment Report: Presented and delivered in the following ways and forms:

Evaluation report: in written form, using concise, clear, complete and standardized language and format, as well as appropriate charts and attachments, present the evaluation results and feedback of the enterprise research, including title, summary, table of contents, body, conclusion, recommendation, appendix, etc.

Evaluation presentation: in oral form, using vivid, interesting, powerful and persuasive language and expression, as well as beautiful slides and videos, to convey the evaluation results and feedback of enterprise research, including background, purpose, content, method, process, results, etc.

Evaluation feedback: in the form of interaction, using a friendly, sincere, professional and cooperative attitude and manner, communicate and communicate with customers, obtain customer opinions and suggestions, as well as customer satisfaction and evaluation.

Research optimization: according to the following indicators and methods:

Optimization metrics: include the following:

Information integrity: refers to whether the information of the optimized enterprise research covers all aspects and levels of the benchmarking enterprise, and whether the information of the enterprise research is not missing or omitted.

Accuracy of information: refers to whether the information of the optimized enterprise research conforms to the real situation and behavior of the benchmark enterprise, and whether the information of the enterprise research is free of error or distortion.

Timeliness of information: refers to whether the information of the optimized enterprise research is consistent with the latest situation and behavior of the benchmark enterprise, and whether the information of the enterprise research is not lagging or outdated.

Relevance of information: refers to whether the information of the optimized enterprise research matches the purpose and indicators of the enterprise research, and whether the information of the enterprise research is valuable and meaningful.

Credibility of information: refers to whether the information of the optimized enterprise research has sufficient basis and proof, and whether the information of the enterprise research has a description of the source and method.

Depth of information analysis: refers to whether the information of the optimized enterprise research has in-depth analysis and interpretation, and whether the information of the enterprise research has the essence and law revealed.

Breadth of information analysis: refers to whether the information of the optimized enterprise research has multi-angle and multi-dimensional analysis, and whether the information of the enterprise research has factors and conditions to consider.

Information analysis perspective: refers to whether the information of the optimized enterprise research has new discoveries and implications, and whether the information of the enterprise research has problems and assumptions.

Information analysis innovation: refers to whether the information of the optimized enterprise research has the use of new or improved tools and technologies, and whether the information of the enterprise research has the level and ability to improve.

Presentation of information: refers to whether the information of the optimized enterprise research is concise, clear, complete and standardized in language and format, as well as the use of appropriate charts and attachments.

The way of information transmission: refers to whether the optimized enterprise research information has the appropriate way and channel, as well as the choice of timely timing and frequency.

How information is used: refers to whether the information of the optimized enterprise research has a clear purpose and intention, as well as specific suggestions and proposals.

Optimization method: including the following aspects:

Purpose of revision research: According to the evaluation results and feedback, adjust and modify the reasons and intentions of enterprise research to adapt to changes in the market environment and competitive situation, as well as changes in customer needs and problems, and improve the pertinence and effectiveness of enterprise research.

Improve the research content: according to the evaluation results and feedback, supplement and update the information and data of enterprise research to cover all aspects and levels of benchmarking enterprises, as well as the latest situation and behavior of benchmarking enterprises, so as to improve the comprehensiveness and timeliness of enterprise research.

Improve research methods: based on the evaluation results and feedback, optimize and innovate the tools and techniques of enterprise research, select effective and diverse tools and techniques, and try new or improved tools and techniques to improve the efficiency and accuracy of enterprise research.

Standardize the research process: according to the evaluation results and feedback, plan and arrange the steps and sequence of enterprise research, so as to clarify and maintain the logic and systematicness of enterprise research, optimize and control the time and resources of enterprise research, and improve the clarity and efficiency of enterprise research.

Enhance research results: based on evaluation results and feedback, present and communicate information and insights from corporate research in a concise, clear, complete and standardized language and format, with appropriate diagrams and attachments, to present information and insights from corporate research, and use appropriate methods and channels, and timely timing and frequency to communicate information and insights from corporate research, improve the readability and usability of enterprise research.

Optimization effect: presented and delivered in the following ways and forms:

Optimization report: Presents the optimization results and feedback of the enterprise research in written form, using concise, clear, complete and standardized language and format, as well as appropriate charts and attachments, including title, summary, table of contents, body, conclusion, recommendation, appendix, etc.

Optimization presentation: in oral form, using vivid, interesting, powerful and persuasive language and expression, as well as beautiful slides and videos, to convey the optimization results and feedback of enterprise research, including background, purpose, content, method, process, Results, etc.

Optimize feedback: In the form of interaction, use friendly, sincere, professional and cooperative attitudes and methods to communicate and communicate with customers, obtain customer opinions and suggestions, and customer satisfaction and evaluation.