This topic should be the most confusing one for everyone. If you want to learn more, you can refer to the article written before the blank. Because I myself have also changed from a data analyst to a business analyst, I will briefly introduce the basic differences between data analysis and business analysis from two perspectives. The first level: the source of demand will be different. When doing data analysis, the main source of demand is some people below the head of the business department. When it comes to business analysis, the source of demand will gradually shift up. Change to the CEO and the first-level person in charge, and the boundaries are relatively blurred. The second level: In the past, when doing data analysis, it was actually more common, such as business analysis and operation analysis. In fact, more need to solve how to improve according to the operation of existing products so as to be faster and more efficient. , more labor-saving, more scale.
It can be simply understood as the optimization and re-optimization of the existing business, changing the poor parts of the product to achieve the mobile number list standard performance. When it comes to business analysis, the object of analysis changes, and sometimes, some opportunities are not discovered by oneself, and the angle of suggestion may become industry/market/competitors and their own opportunities for analysis. Specific suggested angles may vary. What specific behaviors can be optimized early in data analysis to improve efficiency? Business analysis may become:
Where are the opportunities for improvement in the industry and market space now? How do we hold it? If you want to enter, how can you fight against the existing companies and rivals? Can you find the possible weaknesses of your opponents, and even say how to create industry barriers after entering the market? The result of data analysis may be business optimization, and the possible result of business analysis may be to seize industry dividends and so on. The landing time is different between the two. For example, if you are entering the industry early, and the industry is gradually growing, the timeliness of the dividend will be slightly longer. If it is a business module, it may bring a shorter effectiveness. between 1 and 2 months. The following figure is the comparison chart of the author's classification and summary: