Data sources for 1. industrial market research

The data sources of industrial market research can be divided into two categories: first-hand data and second-hand data.

1. First-hand data

First-hand data refers to the original information collected directly from the target market through questionnaires, interviews, observations, etc., which has the characteristics of timeliness, pertinence and uniqueness, but also has the disadvantages of high cost, difficulty and low reliability. First-hand data collection methods are mainly the following:

Questionnaire: refers to the method of designing a series of relevant questions, issuing or sending questionnaires to the target group, collecting their answers and conducting statistical analysis. The questionnaire survey can be in paper or electronic form, which can cover a larger range and number of samples, but it is also necessary to pay attention to avoid unreasonable question design, low recovery rate, and distorted answers.

Interview survey: refers to the method of obtaining their views and opinions on related issues through face-to-face or telephone communication with the target object. Interview surveys can be structured or unstructured and provide insight into the needs and motivations of individuals or groups, but care needs to be taken to avoid interviewer bias, unrepresentative selection of interviewees, and difficulty in quantifying the content of the interview.

Observation and investigation: refers to the method of recording and analyzing the characteristics and laws of the target object by directly or indirectly observing the behavior or phenomenon of the target object. Observation and investigation can be in the form of natural or man-made, which can objectively reflect the actual situation, but it is also necessary to pay attention to avoid the interference of the observer, the change of the observation object, the subjective observation results and so on.

2. Second-hand data

Second-hand data refers to the information that has been collated and published through the network, reports, databases and other means. It has the characteristics of low cost, wide range and high credibility, but it also has the disadvantages of poor timeliness, low correlation and poor quality. Second-hand data acquisition methods are mainly the following:

Web search: refers to the method of retrieving and browsing related information by using search engines or professional websites and entering keywords or conditions. Web search can quickly obtain a large amount of information, but also need to pay attention to screening and evaluation of the source, content and value of information.

Report reading: refers to the method of obtaining the analysis and forecast of the market by reading the reports issued by the government, industry, enterprises and other institutions or individuals. Report reading can systematically understand the overview and trends of the market, but also need to pay attention to compare and verify the data and opinions of the report.

Database query: refers to the method of accessing a database that collects and stores a large amount of data, entering query statements or conditions, and extracting and downloading relevant data. Database queries can accurately obtain data, but you also need to pay attention to the selection and use of appropriate database and query tools.

Analytical Tools for 2. Industrial Market Research

The analytical tools of industrial market research can be divided into quantitative analysis and qualitative analysis.

1. Quantitative analysis

Quantitative analysis refers to the use of mathematical and statistical methods to quantify the processing and interpretation of data, including descriptive analysis, inferential analysis and predictive analysis of three types.

Descriptive analysis: refers to the summary, classification, sorting, calculation and other operations of data, to obtain the basic characteristics and distribution of data, such as average, standard deviation, frequency, percentage and so on. Descriptive analysis can help understand the basic situation of the data, but it cannot reflect the relationship between the data and the influencing factors.

Inquisitive analysis: refers to the data hypothesis test, variance analysis, correlation analysis, regression analysis and other operations, to obtain the relationship between the data and the degree of influence, such as significance level, correlation coefficient, regression coefficient, etc. Inquisitive analysis can help discover patterns and causal relationships between data, but it cannot predict future changes and outcomes.

Predictive analysis: refers to the time series analysis, trend analysis, factor analysis, cluster analysis and other operations of the data, to obtain the future trends and results of the data, such as prediction values, confidence intervals, factor scores, cluster centers, etc. Predictive analysis can help predict future market conditions and development directions, but cannot guarantee the accuracy and stability of forecasts.

2. Qualitative analysis

Qualitative analysis refers to the non-quantitative understanding and interpretation of data using logical and linguistic methods, including content analysis, case analysis and framework analysis.

Content analysis: refers to the encoding, classification, induction and other operations of non-numerical data such as text or images to obtain the theme and meaning of the data, such as keywords, topic sentences, concept maps, etc. Content analysis can help extract the core information of the data, but it cannot quantify the importance and influence of the data.

Case analysis: refers to the description, interpretation and evaluation of the behavior or phenomenon of an individual or group in a specific situation, and the background and process of obtaining data, such as case description, case reason, case evaluation, etc. Case studies can provide insight into the specifics of the data, but they cannot be generalized to other situations or objects.

Framework analysis: refers to the abstraction, integration, comparison and other operations of data to obtain the structure and pattern of data, such as framework diagrams, matrix tables, logical trees, etc. Framework analysis can help sort out the logical relationships and hierarchies of the data, but it cannot refine the details and differences of the data.

Data sources and analytical tools from 3. Champ Consulting.

Shangpu Consulting is a company specializing in industrial market research and consulting services, with many years of industry experience and professional team to provide customers with customized solutions. Shangpu Consulting uses a variety of data sources and analysis tools in industrial market research to select appropriate methods and technologies according to different project needs and goals to ensure the quality and effectiveness of the research. Here are some examples of data sources and analytical tools used by Champ Consulting in industrial market research:

1. Sources of data

First-hand data: Shangpu Consulting collects first-hand data through questionnaires, interviews, and observations to understand the needs, satisfaction, and preferences of the target market. For example, when providing market research services for an industrial robot manufacturer, Shangpu Consulting designed a questionnaire for industrial robot users, distributed it through a network platform and telephone, and collected it.1000to evaluate the user's use and satisfaction with industrial robots.

Second-hand data: Shangpu Consulting obtains second-hand data through web search, report reading, database query, etc., to understand the size, structure, competition, trends, etc. of the target market. For example, in providing market analysis services for an electrical equipment manufacturer, Shangpu Consulting retrieved reports and data on the electrical equipment market from a number of authoritative websites and databases, and collated and summarized them to analyze the current situation and development direction of the electrical equipment market.

2. Analytical Tools

Quantitative analysis: Champ Consulting uses descriptive analysis, inferential analysis and predictive analysis to quantitatively analyze the data to obtain the characteristics, relationships and results of the data. For example, when providing price strategy services for a chemical raw material supplier, Shangpu Consulting Company uses descriptive analysis to summarize and calculate historical price data, and obtains the average value, fluctuation range, seasonality and other characteristics of price; uses inferential analysis to carry out regression analysis on price data, and obtains the correlation coefficient and regression coefficient of price, demand, cost, competition and other factors; uses predictive analysis to carry out time series analysis on price data, get the future trend and forecast value of the price.

Qualitative analysis: Champ Consulting uses content analysis, case analysis and framework analysis to qualitatively analyze the data to obtain the theme, background and structure of the data. For example, when providing innovation strategy services for an auto parts manufacturer, Shangpu Consulting Company uses content analysis to encode and classify user interview records to obtain users' needs and opinions on auto parts; uses case analysis to describe and evaluate innovation cases inside and outside the industry to obtain the motivation and effect of innovation; uses framework analysis to abstract and integrate the elements and processes of innovation, get innovative logic trees and matrix tables.

Conclusion

Industrial market research is an important consulting service. It is necessary to select appropriate data sources and analysis tools according to different market conditions and customer needs to improve the efficiency and quality of research. Champu Consulting uses a variety of data sources and analysis tools in industrial market research to provide customers with professional and customized solutions, which has won the trust and satisfaction of customers. Shangpu Consulting will continue to accumulate experience and technology to provide quality consulting services to more customers in the industrial market.