The data analysis process is generally divided into 6 steps, including clarifying the purpose and ideas of analysis, data collection, data processing, data analysis, data optimization and continuous tracking.
1. Clarify the purpose and ideas of analysis
Clarifying the purpose of analysis is a prerequisite for ensuring the effective implementation of the data analysis process. This goal can be long-term or short-term, but it must be specific and achievable.
Clarifying the analysis ideas is to decompose the purpose of analysis into several different decomposition points, that is, how to carry out data analysis, from which angles to analyze, and which indicators to use for analysis.
2. Data collection
Data collection is the process of collecting relevant data according to a determined data analysis framework, which provides materials and basis for data analysis. Commonly used data collection and analysis tools include Business Advisor, Store Detective, Octopus, and Alibaba’s Data Manager section.
3. Data processing
Data processing refers to the processing and sorting of collected data to form a style suitable for data analysis. It is an indispensable stage before data analysis. Through data processing, the collected raw data is converted into a form that can be analyzed, and the consistency and validity of the data are guaranteed.
4. Data analysis
By establishing a data monitoring system, problems in the operation process can be discovered in a timely manner, and the causes can be quickly located and analyzed. By conducting exploratory analysis of the data, you can fully understand the entire data set so that you can choose the appropriate analysis strategy later.
5. Data optimization
After finding the cause of the problem, the problem should be solved in a timely manner. Some operational means can be used, such as using promotional activities to increase user activity, shopping and giving coupons, etc.
6. Continuous tracking
After the plan is implemented, the effect of the application needs to be continuously tracked, and the feedback of user data needs to be continuously tracked to verify the correctness of the plan.