Data analysis is one of the effective means of executive list operation. Through data analysis, operators can more clearly observe the factors affecting indicators and user data. In this article, the author summarizes and shares several common executive list data analysis methods and a growth plan idea, let's take a look. There are many communication problems within the enterprise, operation and product communication, product and technology communication,
Abandoning positions and identities, and executive list using only objective data to explain problems. Today, Zhuge Jun shared 3 commonly used data analysis methods and 1 growth plan to help novice operators quickly build data thinking and improve communication efficiency in daily work. 1. Data trend analysis Generally speaking, trend analysis is suitable executive list for long-term tracking of product core indicators, such as click-through rate, GMV, number of active users, etc.
Making a simple data trend graph is not a trend analysis, but a executive list trend analysis is more about identifying changes in the data and analyzing executive list the reasons for the changes. Trend analysis, the best output is the ratio. In trend analysis, several concepts need to be clarified: chain ratio, year-on-year, and fixed-base ratio. We all know the chain ratio and year-on-year ratio. The fixed base ratio is to compare with a certain base point.