The marketing team hopes to obtain more executive list sales leads, the operation team hopes to obtain more users and higher transaction amount, and the user operation hopes that users can visit frequently. At different stages, we will have different analysis goals, and the analysis goals also guide our entire analysis framework and process. Before conducting executive list formal data analysis work, we need to set up a series of data indicators, which is the data operation indicator system to be discussed in this section. Just as there are no two identical leaves in the world, no two index systems are exactly the same.
Different product types, different product development stages, and different thinking methods of teams conducting data analysis will all lead to executive list differences in the established indicator systems. However, the basic ideas and methods for formulating the indicator system are traceable. The following methodological framework can quickly clarify executive list the analysis target and formulate a data operation indicator system suitable for its own products and services. 1. How to clarify the analysis goal? Analysis goals and KPIs are closely related.
There are actually many application scenarios for data analysis and insight. The most common use is to improve our performance, or we hope to improve executive list KPI performance only by means of data analysis. What determines your performance? It may be sales leads, the number of orders, or the number of new registered users. This measurable executive list performance is the goal of our data analysis. E.g: The purpose of the e-commerce platform is to allow executive list users to complete more transactions on the platform. The KPI and data analysis goal of the platform leader is to increase the order volume. ToB enterprise service websites hope to obtain more registration leads, and the.