Fundamentals of data collection and processing methods for 1. market research companies

The data collection and processing methods of market research companies refer to the methods and techniques used by market research companies to collect and organize market-related data in order to accomplish specific market research purposes. The basic principles of the data collection and processing methods of market research companies are:

Data collection and processing methods should meet the purpose and needs of market research, that is, the data should be relevant, sufficient, accurate and timely.

Data collection and processing methods should follow scientific principles and norms, that is, data should be objective, verifiable, reproducible and comparable.

The method of data collection and processing should consider the balance between cost and benefit, that is, the data should be economical, effective, feasible and useful.

The basic steps of data collection and processing methods for 2. market research companies.

The basic steps of the market research company's data collection and processing method include:

Determine the source of data: Market research companies need to determine the source of the data, I .e. where the data is obtained, based on the purpose and scope of the market research. Data sources can be divided into two types: one is second-hand data, that is, data that already exists and is collected and released by other institutions or individuals, such as government statistics, industry reports, academic papers, etc.; the other is first-hand data, that is, market research The data generated by the company's own design and implementation of data collection activities, such as questionnaires, interviews, observations, experiments, etc.

Choose data collection method: Market research companies need to choose the appropriate data collection method according to the type and characteristics of the data source, that is, how the data is obtained. Data collection methods can be divided into two types: one is quantitative methods, that is, methods to quantify and measure data through numerical and statistical methods, such as questionnaires, scanners, counters, etc.; the other is qualitative methods, that is, through text and The method of image, the method of describing and interpreting data, such as interviews, observations, text analysis, etc.

Design data collection tools: Market research companies need to design appropriate data collection tools according to the requirements and specifications of data collection methods, that is, what tools are used to obtain data. Data collection tools can be divided into two types: one is structured tools, that is, tools for collecting data according to a fixed format and content, such as questionnaires, forms, scales, etc.; the other is unstructured tools, that is, there is no fixed format and Content, tools for collecting data, such as interview guides, observation records, text materials, etc.

Implementation of data collection activities: market research companies need to implement data collection activities according to the guidance and operation of data collection tools, that is, when, where and under what conditions the data was obtained. Data collection activities can be divided into two types: one is active collection, that is, activities in which market research companies actively issue requests or provide stimuli to data sources to obtain data, such as questionnaire distribution, interview invitation, experimental arrangement, etc.; The second is passive collection, that is, activities in which market research companies passively obtain data from data sources, such as website browsing, newspaper reading, video watching, etc.

Data cleaning and sorting: market research companies need to clean and sort the collected data, that is, how to remove invalid and wrong data, and how to classify and code according to certain rules and standards. Data cleaning and sorting can be divided into two types: one is data verification, that is, the process of determining the validity and accuracy of data by checking and comparing the source, completeness, consistency and rationality of data, such as data verification, data verification, data screening, etc.; The second is data coding, that is, the process of simplifying and standardizing data by converting data into formats and symbols convenient for analysis and storage, such as data classification, data labeling, data entry, etc.

Conduct data analysis and interpretation: Market research companies need to analyze and interpret the cleaned and collated data, I .e., how the data uses statistical and logical methods to discover patterns and meanings of the data. Data analysis and interpretation can be divided into two types: one is descriptive analysis, that is, by calculating and displaying the distribution, frequency, average, standard deviation, etc. of the data, to summarize and present the basic characteristics and status of the data, such as data summary, data charts, data indicators, etc.; The second is inferential analysis, that is, by establishing and testing data assumptions, models, relationships, etc, to infer and predict the causal and trend analysis of data, such as data hypothesis testing, data regression analysis, data prediction analysis, etc.

Practice and experience of data collection and processing methods in 3. Shangpu Consulting Company

Shangpu Consulting is a well-known market research company with many years of industry experience and expertise to provide customized market research solutions for customers in various industries around the world. Champ Consulting has the following practices and experience in data collection and processing methods:

Shangpu Consulting pays attention to the diversity and quality of data sources, according to different market research projects, flexible selection and combination of second-hand data and first-hand data, as well as quantitative and qualitative methods, in order to obtain more comprehensive and in-depth market information. For example, when conducting a research on the new energy vehicle market for an automobile manufacturer, Shangpu Consulting Company not only used the existing second-hand data such as industry reports, policy documents and expert opinions, but also designed a series of primary data collection activities such as questionnaires, interviews and focus groups, while using quantitative and qualitative analysis methods, to comprehensively assess the scale, structure, demand, competition, opportunities and challenges of the new energy vehicle market.

Champ Consulting focuses on the scientificity and effectiveness of data collection tools, and carefully designs and produces data collection tools according to different data collection methods and objects to improve the credibility and comparability of data. For example, when conducting a customer satisfaction survey for a catering chain enterprise, Shangpu Consulting Company adopted a structured questionnaire as a data collection tool. The questionnaire contained various types of questions, such as single-choice questions, multiple-choice questions, scale questions, open questions, etc., to cover customers' evaluation of all aspects of catering services, such as food quality, service attitude, environmental hygiene, reasonable price, etc. The questions in the questionnaire have also been rigorously designed and tested to ensure that the questions are clear, accurate, unbiased and unambiguous, and the logic and sequence of the questions are reasonable.

Shangpu Consulting Company pays attention to the standardization and security of data collection activities. According to different data collection tools and scenarios, it formulates and executes the plan and process of data collection activities to ensure the integrity and confidentiality of data. For example, when conducting user behavior research for an e-commerce platform, Shangpu Consulting adopted a passive collection method, installing and using specialized data collection software to track and record users' browsing, searching, and clicking on the platform., Purchase and other behavioral data. Before conducting data collection activities, Champ Consulting clearly explains to users the purpose, scope, methods and consequences of data collection, as well as the principles and measures for data protection and use, in order to obtain users' consent and trust, and to avoid data leakage and abuse.

Shangpu Consulting Company pays attention to the meticulous and systematic nature of data cleaning and sorting, and adopts and develops methods and tools for data cleaning and sorting according to different data types and characteristics to improve the quality and efficiency of data. For example, when conducting a destination preference survey for a travel company, Shangpu Consulting collected a large amount of unstructured text data, such as users' comments, shares, and likes on social media. Champu Consulting uses natural language processing and text mining techniques to clean and organize text data, such as removing irrelevant content such as stop words, punctuation marks, spaces, etc., as well as word segmentation, part-of-speech tagging, word frequency statistics,Keywordsextraction, sentiment analysis and other useful operations to facilitate subsequent data analysis and interpretation.

Champ Consulting focuses on the depth and breadth of data analysis and interpretation, selecting and applying methods and techniques for data analysis and interpretation based on different data characteristics and objectives to improve the value and meaning of data. For example, when conducting market segmentation research for a clothing brand, Shangpu Consulting collected a large amount of quantitative and qualitative data, such as basic user information, consumer behavior, purchase motivation, brand attitude, etc. Shangpu Consulting Company uses multivariate statistics and machine learning methods to analyze and interpret the data, such as descriptive analysis, cluster analysis, factor analysis, discriminant analysis, etc., to discover the different characteristics and needs of users, and to divide different market segments, and to describe and explain each segment in detail, so as to provide customers with more targeted market strategies and suggestions.

Conclusion

The data collection and processing method of market research company is the core and foundation of market research service, which determines the quality and effect of market research. Market research companies need to adopt scientific, effective, economical and feasible data collection and processing methods to obtain and utilize market-related data according to the purpose and demand of market research, so as to provide customers with high-quality market research reports and suggestions. Shangpu Consulting Company is a market research company with rich practice and experience in data collection and processing methods. It provides customized market research solutions for customers in all walks of life around the world to help customers better understand and grasp the market. Opportunities and challenges.