What does data operations do What does data operations do

1.Data planning

Data planning refers to collecting and sorting out the data requirements of business departments and building a complete data indicator system.

There are two important concepts here: metrics and dimensions! Index, also known as measure.

Metrics are used to measure specific operational effectiveness, such as UV, DAU, sales amount, conversion rate, and so on. The selection of indicators is based on specific business needs, and the events are summarized from the requirements, and the indicators are corresponded to from the events. Dimensions are attributes that are used to break down metrics, such as ads**, browser type, visited region, and so on.

The principle of choosing dimensions is to record those dimensions that are likely to have an impact on the metric.

2.Data collection

Data collection refers to the collection of business data and the provision of data reports or data dashboards to business departments.

It is difficult for a smart woman to cook without rice, and the importance of data collection is self-evident. At present, there are three common data collection schemes, namely buried point, visual buried point and no buried point. Compared with the burying scheme, the cost of no burying is low, the speed is fast, and there will be no misburial and leakage.

Buried point is becoming the new darling of the market, and more and more enterprises are adopting GrowingIO's no buried point solution. In the no-tracking scenario, data operations can get rid of the shackles of buried point requirements and spend more time on business analysis.

3.Data analysis

Data analysis refers to the in-depth analysis of business data through data mining, data modeling, etc.; Provide data analysis reports, locate problems, and propose solutions.

Data analysis is the key work of data operation, and data planning and data collection are all for data analysis services. Our ultimate goal is to identify problems and propose solutions through data analysis to promote business growth.

Data operations: The owner of the data through the analysis of the data.

Summary. Hello, for your question [what does data operation do] The answer to this question is as follows: Hello, the content of data operation is content operation, product operation and user operation.

The content of data operation is as follows: 1. Look at the data, and do the operation must understand the data and grasp the data. 2. Analyze the data, understand the changes in the data and the reasons for the changes in the data, and grasp the changes in them.

3. Operation plan, always sort out the plan, always pay attention to the effect, and always think about the summary. 4. Control the status quo, follow up activities, check publicity positions, pay attention to user events, etc.

What data operations do.

Hello, for your question [what does data operation do] The answer to this question is as follows: Hello, the content of data operation is content operation, product operation and user operation. The data operation work is as follows:

1. Look at the data, and you must understand the data and grasp the data when doing operations. 2. Analyze the data, understand the changes in the data and the reasons for the changes in the data, and grasp the changes in them. 3. Operation plan, always sort out the plan, always pay attention to the effect, and always think about the summary.

4. Control the status quo, follow up activities, check publicity positions, pay attention to user events, etc.

The following is a related extension, I hope it will be helpful to you: Data operation refers to the analysis and mining of data, the owner of the data, the information hidden in the massive data as a commodity, in a compliant form, for the use of data consumers.

Data operation is a very promising industry in the Internet era where user traffic is king.

The subject should be just Oak Silver has just come into contact with this term, so I won't elaborate on the too professional job explanation, data operation is mainly through the data generated by users on various platforms, study their behavior, and finally produce a process of strategy to serve them.

For example, imagine that when you use the taxi software to get a car, the platform uses your mobile phone number to get your favorite song in its **software, and informs the driver**, which improves your taxi experience at the same time, but also enhances the reputation of the platform and the competitiveness of the Liang Chayan industry.

Of course, the skills that need to be mastered, the hard ones must be related to data processing, excel, spss, sql, python are some popular data processing tools (languages), and soft, it is recommended to learn more about user demand mining.

Broadly speaking, data is the most authentic way to reflect the state of products and users, guiding operational decisions and driving business growth. Different from the position of data analyst, data operations are more sideways and slick to support the front-line business to make bad decisions.

An excellent operator should be familiar with the traffic profile of his own product, by looking at the traffic situation every day, the operator can clearly grasp the traffic indicators and their changing trends, and facilitate the evaluation of the past and future trends.

Data operations considerations.

Data operations need to understand what data is needed in the process of product operation. For example, e-commerce, first of all, we must look at the order volume, customer unit price, conversion rate, but also look at the process data of the user's noisy flow in different pages, stay in **, where to pull down, and so on.