Will GPT replace analysts?
As a data analyst, our main responsibility is to gain insight into the business and provide effective and executable solutions.
But the reality is that data sorting, tool operating costs, coding time, etc. occupy too much of our time. On the contrary, the time we can use to think about the value of data is limited. After all, an analysis project Time is fixed, and it is often a "very urgent analysis project", you know?
Explained by the 28 principle, 80% of the time we do things that we think are very useful, but leaders and business people think that they are only 20% valuable.
Every detail in data analysis needs to be explored from the data to find out what happened in the business? Why does it happen? How long will this situation last? What is the solution I can give? How to measure value?
Let me talk about my views first:
1. Incomplete substitution
Focus on solving problems at work Analysts, their important role is to provide interpretations, opinions, and plans, rather than various data charts, models, and codes. This GPT cannot do that.
2. Complete replacement type
Analysts who make a living using tools at work, such as only using SQL, python, tableau, etc. to extract and process data , presentation, rarely do demand communication, business report discussions, and are far away from the business and leadership.
Of course some people are worried about data security, but remember that this is just the prototype of the GPT era, and it will definitely be solved in the future. This is not a problem. Let’s take a look at what GPT can do for analysts? Let’s ask GPT firstFor example, ask it:
## If you are a data analysis expert in the Internet industry and I want to build an analysis system for Douyin, please help me build it and describe it in detail
10 years in the world, one second of GPTSecond: Analyzing project planning and startup can assist us in doing some projects Planning, such as division of labor, project progress, demand sequencing, etc.
For example, ask it:
##Suppose you are an excellent project manager and are now going to do an analysis project on user growth. There are three people in the team and it is required to be completed within a week. Please help me make a detailed plan for the project
Third: Help us interpret and refine some reports and data, which is often called desktop research or desk research. After all, only by reading a large number of reports and data can you better understand the industry and understand the industry. Go to the business logic and elements
This has been demonstrated before, if you are interested, you can check it out:Use GPT to help you analyze documents and crawl websites. It is said that it is also based on the Chat GPT4.0 model
Fourth: GPT can help us write commonly used programming codes, such as SQL, Python
For example, ask it:There is a user behavior table user_log. The main fields are as follows. It records all the behavior logs of users on the app, that is, who user_id performed what operation at what event_time event_id. Help me calculate the app every day. The number of visitors and the number of actions per person per day are calculated using sql and python respectively
## Do you accept it? ?
Fifth: GPT can assist and guide us in using commonly used functions in Excel, pivot tables and VBA, etc.For example Ask it:
Simulate a set of data and help me output conditional formatting, custom sorting, data validation, create drop-down menus, and find reference classes in excel. Functions, text extraction functions and other skills.
Are you scared? Will self-study and apply
Finally, we return to the topic. I believe everyone will have their own judgment. Although it cannot directly replace analysts, it has made the living space of many junior analysts more and more difficult. It is getting smaller and smaller, and the competition is getting bigger and bigger. What is even more frightening is that it will make those who use it become stronger and stronger.The above is the detailed content of Will GPT replace analysts?. For more information, please follow other related articles on the PHP Chinese website!

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