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Zero code and high return. How to use 40 sets of templates to meet 95% of the reporting needs in the work

2022-07-06 23:36:00 【Leo. yuan】

Let's look at a picture ：

Recently, I often hear my friends complain to me ： It's hard to find a job now , He is engaged in data analysis , Most enterprises require pure business data analysts , And he has just entered data analysis for a year , The last job involved not many businesses . So especially in this graduation season , It is even more difficult to find a pure data score .

In fact, most of the work done by data analysts now is business data analysis , That kind of pure data is very few , So there is a saying in this circle ： Data analysts must understand the business , It's not really a joke .

Some people wonder ： What does it mean to be a pure business analyst ？ Don't engage in technology ？

Of course not. , If you don't need technology , What is it called a data analyst , It's not more appropriate to simply call the salesperson .

Compared with business personnel , Data analysts who understand business need to know how to use SQL Count , Be able to make visual reports , Can understand how to use data to empower business .

Because the first two work hours will occupy most of the working hours of data analysts , This has led to a misunderstanding , It seems as long as we do the first two things well , And how to use data to empower business , It's something that business people should consider , What to do with me .

So it is also in a dilemma , Because for most enterprises , Technical requirements: the ceiling is very low , Usually 3 You can master basic data skills in , At this time, if there is no good technical platform , For example, big factories , Technology has reached a bottleneck , It's hard to break through . As a result, his salary has also fallen into a bottleneck , It's hard to keep rising .

But data analysts who understand business are different , Technology is for them , It's a tool , Tools that can help them better understand the business , These data analysts who understand the business have greater liquidity and competitiveness in the market , because 90% The purpose of enterprises looking for you is to use your technology to support business realization , And through business changes , De feeding 、 change 、 Innovative technology .

Then there are friends who say ： He also knows the importance of business , Also want to understand business , But he has no time and energy to study business .

Now it's back to the current dilemma of the industry , That's it “ Access tool ”、“ Cousin, cousin ”.

Data analysts spend most of their time dealing with the data retrieval demand of the business 、 Report requirements , The end of the day , Dizziness and brain swelling , Where can we spare energy to actively understand the business .

In this case , My suggestion is to use tools to complete these tasks . Therefore, in the future, the general data technology will belong to the bottom data infrastructure of the enterprise , Data personnel no longer need to develop and operate by themselves , Professional things are left to professional enterprises , And all you have to do is stand on the shoulders of giants , Enable business with data .

And now , I suggest Data analysts who have access requirements can learn more BI Tools , Learn to let business personnel query data and make reports by themselves , Just BI Tools have been able to meet most of the needs of salespersons , What you have to do is to meet special needs , Conduct BI Data authority allocation and regular maintenance, etc , It saves you a lot of time .

As for statements , My suggestion is Things that can be solved with templates , Don't waste energy doing it by yourself . In fact, the data departments of most enterprises are also aware of the importance of templates , They will regularly produce a set of visual programs every year , Including color matching 、 Component background, etc , Preset the dashboard style , For your use . Therefore, it is generally acknowledged that the template is convenient .

I stayed up for two nights , To prepare the 40 Set of visual templates , You can change the data source directly , You can apply , It involves multiple scenarios and requirements , Quickly praise the collection .