What are the operational data analysis methods?

Looking at numbers and trends is the most basic way to display data information. In data analysis, we can quickly understand, such as the market trend, order quantity, performance completion and so on. Through intuitive figures or trend charts, data information can be absorbed intuitively, which is helpful to the accuracy and real-time decision-making.

2. Dimension decomposition

When a single number or trend is too macro, we need to decompose the data through different dimensions to get more detailed data insight. When choosing a dimension, we need to carefully consider its influence on the analysis results.

3. User grouping

Classifying users who meet certain behaviors or background information is a user segmentation method that we often say. We can also create a group of portraits of users by refining their specific information.

4, conversion funnel

Most business realization processes can be summarized as funnels. Funnel analysis is one of the most commonly used data analysis methods, whether it is registration conversion funnel or e-commerce order funnel. Through funnel analysis, we can restore the path of user transformation from beginning to end and analyze the efficiency of each transformation node.