Fuzhou SEO: Talking about the difference between SEO rookie and data analyst

Source: Internet
Author: User

The role of data analysis, for each seoer is needless to say. Data analysis plays the role of supporting the whole process in the aspects of website operation, website optimization and website promotion. Data analysis is also a skill that must be mastered as a seoer. So what is data analysis? Data analysis refers to the use of appropriate statistical methods for the collection of a large number of first-hand data and second hands data analysis, in order to maximize the development of data information function, play the role of data. Data analysis can be shallow, to do a good job of data analysis, usually to master the data analysis of the six Steps is: clear analysis of the purpose and content, data collection, data processing, analysis, data presentation, report writing.

A data analyst is a professional who specializes in industry data collection, collation, analysis, and industry research, assessment and prediction based on data. The more developed society, people's reliance on data is strong, whether it is corporate decision-making, or the operation of the company, whether it is website optimization, or the promotion of website activities, all need data support. With such a large data demand, the data analyst will have a lot of room for development. A mature seoer not only has the ability of data analyst, but also has more professional knowledge of SEO people. However, most SEO rookie only part or not master the ability of data analysis.

Quote: "Who said the rookie will not be data analysis," said in the face of huge data, the role of the data analyst is not just a simple analysis, but with the relevant business units to work together to really apply the data to the business, based on the actual business development to identify what data is available, which does not apply, rather than isolated " Vacuum environment "under the analysis. And now most of the SEO rookie, the data analysis just stay in the simple analysis, "vacuum environment" analysis, a lot of data are not able to apply to the actual environment. We identify the difference between SEO rookie and data analyst in the following points:

SEO Rookie:

That's a really good data.

What kind of analysis can this data do?

Is the advanced analytical method available here?

What else can I say about the data text description?

How many pages does the data analysis report overwrite?

Data Analyst:

What is the truth behind the data changes?

From what angle analysis data system?

What is the most effective method of analysis?

Is the purpose of data analysis achieved?

Is the data report persuasive?

The above points can be seen in SEO rookie and data analyst between the thinking Gap, SEO Rookie learning the road is still very long. Seoer and data analyst Although two different occupations, but successful seoer not only need to have the ability of data analyst, but also need to have the ability to improve all levels. SEO rookie to the success of the Seoer, is a process of accumulation of knowledge, but also the process of improving the ability of all aspects.

This article by Miiseo Laboratory (http://www.miiseo.com/443.html) original, welcome reprint, please indicate the source. Thank you!



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