What is data operation? Why is it so hot in recent years? Today, I will introduce to everyone what data operation is.
What is data operation? What is data operation? Data operation is to optimize users and apply to the data given for the direction of operation. Along with the development trend of Internet technology, data information is becoming more and more critical for the control of operations. Nowadays, it is becoming more and more precise, marking everyone’s overall target users, analyzing the relevance of such users, and how to make a large number of them. Those who touch this type of prospective users. Data information is the real opinion feedback for the situation. According to the data information, the direction of operation can be controlled. Therefore, the following three directions will explain what data operation is from collecting data information, analyzing data, and presenting applicable data.
1. Collect data and information
Data collection does not mean that all data and information must be collected. It just uses the new project that refers to the operation as the management center to carry out data collection and collect data information with useful value. After the data is collected, the data and information are sorted out. From the very early stage of the operation of the new project, the data information has been purposefully collected and sorted out. The collected data information generally includes personal behavior data information, flow data information, business process data information, external data information, etc., I will do it below Detailed introduction for everyone.
Personal behavior data information: It is the record data information of the user's personal behavior, such as when the user opens the APP, what kind of products the user likes, etc. The user's personal behavior is the basic of the user's operation, and it is only when the user's personal behavior is understood. It is possible to carry out user operations, to optimize the classification of users, and then to develop hierarchical management methods.
Traffic data information: Traffic data information is generally to carry out statistical analysis on the return path of the traffic, analyze the ways in which users enter, and then decide on the advertising and marketing methods based on the analysis of the data.
Business process data information: To put it bluntly, it is a kind of data information related to the order volume of market sales, but here is not only market sales, such as the number of APP registrations and page number business process data information.
External data information: The external data information is generally the overall data analysis report of the relevant field, such as the statistical analysis of some third-party platforms. The data analysis report of this type can be compared with the data information of the own company, and the differences can be found to discover the problems.
2. Data statistical analysis
In the case of statistical analysis of data, the first problem to consider is what is the key indicator value for your field? For example, if you are building a website operation, then for website operation, traffic is very critical. An indicator value. When the flow is abnormal, it is necessary to analyze how the abnormality occurs, and analyze it from several perspectives, such as region, machinery and equipment, and flow return, and then carry out the analysis based on the data information of each level. Analyze and then find the elements of the hazard index value.
3. Applicable to presentation
What is data operation? In addition to analyzing and solving difficulties, data information is also very important to show support points for operations, use data information to find existing problems, and then improve the steps of new projects to solve difficulties, and more Conducive to the operation of all new projects.
When interviewing for operational positions, I often ask questions related to data operation analysis, but the answers are often disappointing. Either I am not clear about the analysis ideas, or fail to grasp the core indicators.
This kind of scenario also often occurs in product and operation work. Imagine that when a leader asks "What is the reason for the recent decline in sales", "Why is the conversion rate dropped?" How would you respond to these problems? It can be seen that the importance of data analysis thinking is that in the future, operations with product thinking and data analysis capabilities can gain more space and create higher value.
Many friends around me are worried about how to improve their data analysis ability. To be honest, EXCEL data processing skills, visualization charts, these tools are easy to learn, but the difficulty is to raise a problem, how to find a way to solve this problem through data , The key lies in data analysis thinking. And use the correct data analysis software.
There are many ways of thinking. After years of accumulation of operational work, I personally think that there are three kinds of thinking that are most commonly used: subdivision thinking, contrast thinking, and related thinking. Many other thinking models are mostly derived from the comprehensive application of these three kinds of thinking. of.
Data analysis thinking is not difficult. As long as you pay more attention to the application or look at the data, put more question marks, don't be obsessed with the data performance, think more about the associations and differences behind the data, and complex problems will become simple.
For data analysis software, it is best to choose a professional data analysis software that suits you. There are many such software on the market. You can choose according to your own preferences. I often use Smartbi, which is Guangzhou Sematic Software. The company’s BI tool, Smartbi design process visualization, drag and drop to quickly complete data set preparation, visualization exploration and dashboard production, rich visual display, easy to make BI billboards, rich interactive controls and chart components, and are not affected by Restrictions on dimensions and measures, support for multiple data sources, flexible layout, support for business themes and self-service data sets. And everyone can try it for free, and full-featured modules are open for free long-term trials. You can try if you are interested!