Zhihu’s big data pushed me such a question: As a data analyst, but being used as a data access machine by the business?
The heat is high, and it seems that many data analysts are in a similar situation.
As a data analyst, most of the time is busy getting data. Even if 996 works overtime, I can’t finish it. Not only do I have no time to do data analysis, but I also waste time in mechanical work without technical content. I don’t know the meaning of my work. Where is the value and significance, and I feel confused about my future career planning...
I have also had this experience, so let me talk about how I looked at this problem and found a breakthrough.
First, counting is a basic skill and can be replaced.
One is because taking data is a practice with standard answers. As long as you master basic data knowledge, you can turn a novice into a master in about 3 months.
The second is that many low-code access platforms and products have already been put into use. Combined with the development of large language models, the realization of intelligent access is only a matter of time.
Therefore, we don't have to worry too much about our access speed, or question our skills. You have to realize that what we need to improve is actually how to further understand our business, understand the commonly used indicators and latitude in the industry.
Secondly, as mentioned earlier, there is no time for analysis. Indeed, as a data analyst, accessing data is only the previous work. The important thing is to analyze the obtained data and make a clear and easy-to-read report.
A good data analysis report can enable people who do not understand business to understand problems and trends, as well as solutions, and all of these are data-based.
Many data analysts also spend a lot of time designing reports. In fact, it does not need to be so complicated. For reports with certain indicators, it is enough to directly set templates and change the data, and spend time on more meaningful things.
I have also organized a variety of large screens in more than 30+ industries, which can be used directly with templates. I think this is the best tool to help data analysts fish correctly.
Procurement Data Console
Supply chain large screen home page
Inventory Data Console
Sales Data Console
Group sales analysis
Process workshop overview
Workshop environment monitoring
Workshop equipment maintenance
Food Retail Group Sales Overview
Food Retail Group Regional Sales Information
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