1, analysis framework = peeling the onion + split

As an analyst, the report is an important output, just as if we are product managers, then this analysis report is your product, so both from the breadth and depth, you have to reflect your thinking, so that the combination of breadth and depth in order to The first thing you need to do is to get your hands dirty and get out of the way.

2, the logic of the core indicators displayed on each page? Formula thinking

When we do a good job of data analysis, how to show their own analysis in a page of PPT has become more important, many analysts at a loss for words in this piece, sometimes it is the user trend chart, and sometimes it is the industry scale chart, in fact, the logic behind the analysis may be very clear, but you show the way and the layout of the old so that others feel that the idea of or Confused.

A page of PPT to describe a core, and this core validation of the data analysis process, the best way is the formula thinking, so that you present the indicators and the theme of this page to echo the corresponding, even if someone on the spot to challenge you, you will also answer.

3. Reasonableness of metrics comparison? Business thinking

Often see some reports, no matter what the product, what business, are a few major indicators, the number of registered users, the number of active users, first-time buyers, repeat buyers, reorder rate, customer unit price, etc., ridiculous is not the indicator itself, but to take the business of a different 2 indicators to compare and contrast, say how good they are!

On the content of how to write an excellent data analysis report, Qingteng Xiaobian will share with you here. If you have a strong interest in big data engineering, I hope this article can help you. If you still want to know more about data analysts, big data engineers tips and materials, you can click on other articles on this site to learn.