Market investigation scientific information acquisition data analysis method

Abstract

The invention relates to a scientific information acquisition data analysis method for market research, and belongs to the technical field of market research. The method comprises the following steps: S1, question definition and target setting: determining an investigation purpose, a research object and questions needing to be answered, and determining the range and depth of market investigation; s2, information data acquisition: scientifically acquiring original data of market investigation from a plurality of market investigation channels; s3, data processing: using statistics to clean, sort and summarize the collected data; s4, information data screening: selecting original data corresponding to market investigation according to market investigation requirements, and obtaining various types of original investigation data; s5, extracting data features; s6, data analysis; and S7, data feedback. According to the invention, scientific information acquisition can be carried out on various market research data, the information acquisition time is shortened, the information acquisition speed and accuracy are effectively improved, professionals can conveniently analyze various data more clearly later, and the authenticity of data analysis results is enhanced.

Description

Technical Field

[0001] The invention relates to a market research scientific information collection data analysis method, belonging to the technical field of market research. Background Art

[0002] Market research is a general term for market investigation and market research. It is a process in which individuals or organizations systematically design, collect, record, organize, analyze and study various market information and data based on specific decision-making issues, and report research results. It is the use of scientific methods to purposefully and systematically collect, organize and analyze various intelligence, information and data on supply, demand and resources. With the intensification of market competition and the diversification of consumer demand, companies need to have a deeper understanding of market conditions in order to formulate more accurate and targeted marketing strategies. Market research is an important means of obtaining market information. By collecting and analyzing market research data, companies can understand key information such as market demand, competitors, consumer behavior, etc., so as to make more informed decisions.

[0003] At present, when conducting market research, since the market research data is usually large and complex, it often takes a lot of time to collect information, the speed of information collection is relatively low, and the accuracy of information collection is often relatively poor. As the complexity of the research changes, various types of data are aggregated together, resulting in professionals being unable to clearly analyze various types of data, and the authenticity of the data analysis results needs to be improved. Based on this, the present invention provides a scientific market research information collection data analysis method. Summary of the invention

[0004] In view of this, the present invention provides a scientific information collection and data analysis method for market research, which can scientifically collect information on various market research data, reduce information collection time, effectively improve the speed and accuracy of information collection, and facilitate professionals to analyze various types of data more clearly in the future, thereby enhancing the authenticity of data analysis results.

[0005] The present invention provides a market research scientific information collection and data analysis method, and the proposed technical solution includes the following steps:

[0006] S1: Problem definition and goal setting: Determine the purpose of the research, the research object, and the questions that need to be answered, and clarify the scope and depth of the market research;

[0007] S2: Information data collection: scientifically collect the original data of market research from multiple market research channels;

[0008] S3: Data processing: Use statistics to clean, organize and summarize the collected data;

[0009] S4: Information data screening: Select the collected original data corresponding to the market research according to the market research needs, screen out various types of original data to determine the various directions of the market research, and obtain various types of original research data;

[0010] S5: Data feature extraction: Perform difference calculation and average calculation on various types of original survey data obtained in step S4 to construct a coordinate system chart;

[0011] S6: Data analysis: Professionals conduct brainstorming with artificial AI, analyze various original survey data and coordinate system charts, and produce relevant copywriting;

[0012] S7: Data feedback: Send the relevant copy to the user and receive feedback data sent by the user in real time.

[0013] Furthermore, in step S1, the problem definition and goal setting are carried out through consultation and communication between the company's professionals and the user.

[0014] Furthermore, the market research channels in step S2 include collecting original market research data through paper questionnaires, interviews, literature research, and mining relevant information data from the Internet.

[0015] Furthermore, in step S3, the original data of market research collected in paper questionnaires, interviews, literature research, and relevant information data mined from the Internet are summarized.

[0016] Furthermore, in step S4, the collected market research raw data includes various data such as popularity among the public, news messages, user comment messages, audience groups, market conditions, etc.

[0017] Furthermore, in step S5, the difference calculation formula is usually expressed as: difference: x = (x1-x2), where x1 is the maximum value of the original survey data, and x2 is the minimum value of the original survey data, which is usually used to calculate the difference or change between two values.

[0018] Furthermore, in step S5, the calculation formula of the average value is usually expressed as: arithmetic mean: x=(x1+x2+...+xn) / n, wherein xi is each value and n is the number of values, which is used to calculate the average value of each type of original survey data, that is, the sum of all values ​​divided by the number of values; multiple functions are provided in Excel to calculate the average value, the AVERAGE function is used to calculate the average value of a group of values, the AVERAGEA function is used to calculate the average value of all parameters, including non-numeric characters and logical values, the AVERAGEIF function is used to calculate the average value according to specified conditions, the AVERAGEIFS function is used to calculate the average value according to multiple conditions, the DAVERAGE function is used for the database to calculate the average value according to multiple conditions, the TRIMMEAN function is used to calculate the trimmed mean, that is, the average value after excluding a certain proportion of values ​​at both ends of the data, and the AVEDEV function is used to calculate the average value of the absolute deviation of a group of data from its average value.

[0019] Furthermore, the document produced in step S6 is a PPT document, an Excel spreadsheet, or a Word document, so as to convert the analysis results into understandable and actionable insights and provide support and suggestions to users.

[0020] Furthermore, in step S7, the feedback data is organized into survey and evaluation data, and the survey and evaluation data is sent to a corresponding database for storage.

[0021] Beneficial effects of the present invention:

[0022] The present invention provides a scientific information collection and data analysis method for market research. After determining the problem definition and goal setting, a variety of channels are used to conduct scientific information collection on various market research data, thereby reducing the information collection time and effectively improving the speed and accuracy of information collection. Afterwards, the various types of collected information data are sorted, summarized, and screened to determine various types of original research data, and difference calculations, standard deviation calculations, and average value calculations are performed to construct coordinate system charts, which can facilitate professionals to analyze various types of data more clearly in the future and enhance the authenticity of data analysis results. DETAILED DESCRIPTION

[0023] The preferred embodiments of the present invention will be described in detail below.

[0024] The present invention provides a market research scientific information collection and data analysis method, which comprises the following steps:

[0025] S1: Problem definition and goal setting: Determine the purpose of the research, the research object, and the questions that need to be answered, and clarify the scope and depth of the market research;

[0026] S2: Information data collection: scientifically collect the original data of market research from multiple market research channels;

[0027] S3: Data processing: Use statistics to clean, organize and summarize the collected data to facilitate the discovery of potential connections, trends and patterns;

[0028] S4: Information data screening: Select the collected original data corresponding to the market research according to the market research needs, screen out various types of original data to determine the various directions of the market research, and obtain various types of original research data;

[0029] S5: Data feature extraction: Perform difference calculation and average calculation on various types of original survey data obtained in step S4 to construct a coordinate system chart;

[0030] S6: Data analysis: Professionals conduct brainstorming with artificial AI, analyze various original survey data and coordinate system charts, and produce relevant copywriting;

[0031] S7: Data feedback: Send the relevant copy to the user and receive feedback data sent by the user in real time.

[0032] As an optional embodiment, in step S1, problem definition and goal setting are performed through consultation and communication between company professionals and users.

[0033] As an optional embodiment, the market research channels in step S2 include collecting original data of the market research through paper questionnaires, interviews, literature research, and mining relevant information data from the Internet.

[0034] As an optional embodiment, in step S3, the original data of market research collected in paper questionnaires, interviews, literature research, and relevant information data mined from the Internet are summarized.

[0035] As an optional embodiment, in step S4, the collected market research raw data includes various data such as popularity among the public, news messages, user comment messages, audience groups, market conditions, etc.

[0036] As an optional embodiment, in step S5, the difference calculation formula is generally expressed as: difference: x = (x1-x2), wherein x1 is the maximum value of the original survey data, and x2 is the minimum value of the original survey data, which is generally used to calculate the difference or change between two values, and is used to calculate the difference of the original survey data, and analyze the market situation through the maximum peak interval of market changes.

[0037] As an optional embodiment, in step S5, the calculation formula of the average value is generally expressed as: arithmetic mean: x=(x1+x2+...+xn) / n, wherein xi is each value and n is the number of values, which is used to calculate the average value of each type of original survey data, that is, the sum of all values ​​divided by the number of values; multiple functions are provided in Excel to calculate the average value, the AVERAGE function is used to calculate the average value of a group of values, the AVERAGEA function is used to calculate the average value of all parameters, including non-numeric characters and logical values, the AVERAGEIF function is used to calculate the average value according to specified conditions, the AVERAGEIFS function is used to calculate the average value according to multiple conditions, the DAVERAGE function is used for the database to calculate the average value according to multiple conditions, the TRIMMEAN function is used to calculate the trimmed mean, that is, the average value after excluding a certain proportion of values ​​at both ends of the data, and the AVEDEV function is used to calculate the average value of the absolute deviation of a group of data from its average value, and the market situation is analyzed by calculating the average value of the original survey data and the average value of market changes.

[0038] As an optional embodiment, the document produced in step S6 is a PPT document, an Excel spreadsheet, or a Word document, so as to convert the analysis results into understandable and actionable insights, provide support and suggestions for users, and provide clear and concise documents for easy reading.

[0039] As an optional embodiment, in step S7, the feedback data is organized into survey and evaluation data, the survey and evaluation data is sent to a corresponding database for storage, and the final survey and evaluation data is stored so that the data can be extracted when needed later.

[0040] Working principle: S1: Determine the purpose of the survey, the research object and the questions that need to be answered through consultation and communication between the company's professionals and users, and clarify the scope and depth of the market research; S2: Collect the original data of the market research through paper questionnaires, interviews, literature research, and relevant information data mined from the Internet. Scientifically collect the original data of the market research through multiple market research channels; S3: Use statistics to clean, organize and summarize the collected data, and summarize the original data of the market research collected through paper questionnaires, interviews, literature research, and relevant information data mined from the Internet to facilitate the discovery of potential correlations, trends and patterns; S4: Select the corresponding original data of the market research collected according to the needs of the market research, and screen out various data such as popularity, news, user comments, audience groups, market conditions, etc. to determine the various directions of the market research and obtain various types of original research data; S5: Steps S4: Calculate the difference and average of various types of original survey data to construct a coordinate system chart, calculate the difference of the original survey data, analyze the market situation through the maximum peak interval of market changes, calculate the average of the original survey data, and analyze the market situation through the average of market changes; S6: Data analysis: Professionals use artificial AI to brainstorm, analyze various types of original survey data and coordinate system charts, and make them into PPT documents, Excel tables, and Word documents to convert the analysis results into understandable and actionable insights, provide support and suggestions for users, and provide clear and concise documents for easy reading; S7: Send the relevant documents to users, and receive feedback data sent by users in real time, organize the feedback data into survey evaluation data, send the survey evaluation data to the corresponding database for storage, and store the final survey evaluation data so that data can be extracted when needed later.

[0041] After determining the problem definition and goal setting, the present invention uses multiple channels to conduct scientific information collection on various market research data, reducing information collection time, and effectively improving the speed and accuracy of information collection. Afterwards, the various types of collected information data are sorted, summarized, and screened to determine various types of original research data, and difference calculations, standard deviation calculations, and average calculations are performed to construct coordinate system charts, which can facilitate professionals to analyze various types of data more clearly in the future and enhance the authenticity of data analysis results.

[0042] The present invention and its implementation methods are described above, and such description is not restrictive, and the actual structure is not limited thereto. In short, if ordinary technicians in the field are inspired by it, without departing from the purpose of the invention, they can design structures and embodiments similar to the technical solution without creativity, which should all fall within the protection scope of the present invention.

Claims

1. A scientific information collection and data analysis method for market research, characterized by: The following steps are involved: S1: Problem definition and goal setting: Determine the purpose of the research, the research object, and the questions that need to be answered, and clarify the scope and depth of the market research; S2: Information data collection: scientifically collect the original data of market research from multiple market research channels; S3: Data processing: Use statistics to clean, organize and summarize the collected data; S4: Information data screening: Select the collected original data corresponding to the market research according to the market research needs, screen out various types of original data to determine the various directions of the market research, and obtain various types of original research data; S5: Data feature extraction: Perform difference calculation and average calculation on various types of original survey data obtained in step S4 to construct a coordinate system chart; S6: Data analysis: Professionals conduct brainstorming with artificial AI, analyze various original survey data and coordinate system charts, and produce relevant copywriting; S7: Data feedback: Send the relevant copy to the user and receive feedback data sent by the user in real time.

2. The method for scientifically collecting and analyzing market research information according to claim 1, characterized in that: In step S1, the problem definition and goal setting are carried out through consultation and communication between the company's professionals and the users.

3. The method for scientifically collecting and analyzing market research information according to claim 1 is characterized by: The market research channels in step S2 include collecting original market research data through paper questionnaires, interviews, literature research, and mining relevant information data from the Internet.

4. The method for scientifically collecting and analyzing market research information according to claim 1, characterized in that: In step S3, the original data of market research collected in paper questionnaires, interviews, literature research, and relevant information data mined from the Internet are summarized.

5. The method for scientifically collecting and analyzing market research information according to claim 1 is characterized by: In step S4, the collected market research raw data include various data such as popularity among the public, news messages, user comment messages, audience groups, market conditions, etc.

6. The method for scientifically collecting and analyzing market research information according to claim 1, characterized in that: In step S5, the difference calculation formula is usually expressed as: difference: x = (x1-x2), where x1 is the maximum value of the original survey data, x2 is the minimum value of the original survey data, and is usually used to calculate the difference or change between two values.

7. The method for scientifically collecting and analyzing market research information according to claim 1, characterized in that: In step S5, the calculation formula of the average value is usually expressed as: arithmetic mean: x=(x1+x2+...+xn) / n, wherein xi is each value, n is the number of values, and is used to calculate the average value of each type of original survey data, that is, the sum of all values ​​divided by the number of values; multiple functions are provided in Excel to calculate the average value, the AVERAGE function is used to calculate the average value of a group of values, the AVERAGEA function is used to calculate the average value of all parameters, including non-numeric characters and logical values, the AVERAGEIF function is used to calculate the average value according to specified conditions, the AVERAGEIFS function is used to calculate the average value according to multiple conditions, the DAVERAGE function is used for the database to calculate the average value according to multiple conditions, the TRIMMEAN function is used to calculate the trimmed mean, that is, the average value after excluding a certain proportion of values ​​at both ends of the data, and the AVEDEV function is used to calculate the average value of the absolute deviation of a group of data from its average value.

8. The method for scientifically collecting and analyzing market research information according to claim 1, characterized in that: The document produced in step S6 is a PPT document, an Excel spreadsheet, or a Word document, so as to convert the analysis results into understandable and actionable insights and provide support and suggestions to users.

9. The method for scientifically collecting and analyzing market research information according to claim 1, characterized in that: In step S7, the feedback data is sorted into survey and evaluation data, and the survey and evaluation data is sent to a corresponding database for storage.