What are the precautions for data analysis?

1. Data Analysis Engineers Are Dispensable

Big Data Analysts are not as rule-based as how to become a programmer. There are no specialized data analysis majors in colleges and universities, and some are in the traditional statistics category. Big data analysts are a marginal position, dispensable, and can be solved by recruiting someone who understands database query.

2. Everything can be analyzed, be greedy for the big and seek perfection

Data analysis, what should you analyze? Wherever there is data, there is data analysis. . Even if data analysts are busy working, the final results will not satisfy the leaders. Because the data quality is poor, the reference value of the analysis results will be greatly reduced, or they may be very different from the actual results.

3. The job position of data analyst is unclear and in a state of soy sauce

Is the data analyst a software engineer, a programmer, a management person, or a business person? Are you a marketing or sales person? I work with data every day and rarely see you writing code. Management decisions are made by leaders and bosses. You have no customers and no marketing. In the end, data analysts are nothing. Their job tasks are to find data, organize data tables, make various reports, write ppts, and make small reports.

4. Go beyond the scope of business and aim too high

Some leaders or company managers require large and comprehensive data analysis and want results. It can be as large as country, industry, and company size as latitudes, including page views and UV. In their eyes, data analysts can do anything, and everything should be simple, no matter what platform or platform, middle platform or not, because collecting data is the simplest manual work. Scenarios like this may be familiar to you who do numerical analysis.

The editor of Qingteng will share with you what precautions should be taken in data analysis work. If you have a strong interest in big data engineering, I hope this article will be helpful to you. If you want to know more about the skills and materials of data analysts and big data engineers, you can click on other articles on this site to learn.