The data analysis process of cross-border e-commerce enterprises is generally divided into six steps, including clarifying the purpose and ideas of analysis, collecting data, data processing, data analysis, data presentation and report writing.
Clear analysis purpose and ideas
Identifying data analysis needs and clarifying data analysis goals are the primary conditions for ensuring the effectiveness of the data analysis process. Before starting data analysis, you should calmly think about what you want to get in the data analysis process. For example, do you want to more accurately determine the customer base of cross-border e-commerce companies, or do you want to expand the customer base of cross-border e-commerce companies? Or is it to evaluate whether the effect of the product revision is better than before? Is it to find the direction of product iteration, or to make scientific scheduling so that there is no need to waste manpower in idle time and lack of manpower in busy time? It is crucial to clarify what to get and what goals to achieve through data analysis, just as it is necessary to clarify what the challenges in this process are and how to determine whether the purpose can be achieved.
After clarifying the purpose of data analysis, the next step is to determine the data analysis ideas. Data analysis ideas refer to the use of relevant marketing and management technologies and methods, combined with actual business to decompose the purpose of data analysis layer by layer to form a structured data analysis framework. The construction of the data analysis framework helps to improve the integrity of the data analysis dimension and the effectiveness of the analysis results.