What does data analysis refer to?

Data analysis is the analysis of data. In professional terms, data analysis refers to the processing and analysis of collected data according to the purpose of the analysis, using appropriate statistical analysis methods and tools, in order to maximize the development of the function of the data, the role of the data. Data, also known as observations, are results obtained through experimentation, measurement, observation, and investigation, and are often presented in quantitative form.

Data analysis should be achieved to help managers to provide valuable information for effective decision-making, such as daily briefings, thematic analysis, etc., which are the embodiment of the specific work of data analysis. And when to do briefing work, when to carry out thematic analysis, which need to be based on the actual situation to make choices.

Six basic analytical methods of data analysis are:

1, compositional analysis; 2, comparative analysis of the same kind; 3, the funnel method; 4, correlation analysis; 5, cluster analysis; 6, grouping analysis.

Compositional analysis calculates structural indicators on the basis of statistical grouping to reflect the overall composition of the method under study. The application of composition analysis, from different perspectives, can study the composition of investment and its trend of change, observe the composition of investment and industrial structure, the social needs of the composition of the adaptive relationship, can reveal things from quantitative to qualitative changes in the specific process.