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This article introduces you to the five bottlenecks of Excel in the data age. The content is very detailed. Interested friends can refer to it for reference. I hope it can help you.

In the era of data, scientific decision-making of enterprises cannot be separated from effective analysis of data.

Excel, as the office software with the largest user group in the world, has always been loved by individual and enterprise users, whether professional data analysts or white people who do not understand data. It also has a huge system of modules, from simple table creation, pivot tables, writing formulas, to VBA language, and countless plug-ins for you to use. From the perspective of data computing power, Excel seems omnipotent and can be said to be the leader.

However, with the rapid development of information technology and communication technology such as the Internet, Internet of Things and cloud computing, the surge in data volume has become a severe challenge faced by many industries. Enterprises have higher and higher requirements for data, and many bottlenecks in Excel have become more prominent:

Bottleneck 1: Traditional methods cannot handle data from different places. APP data is in the database. (There is user data, belonging to the IT department) 2. Business data is in the CRM system. (There are sales data, belonging to the sales department) 3, management data in the Excel file of each department. (Personnel data available, belonging to HR Department)

The boss asks: what sales channels do the company's best user groups get, and what kind of employees can create value for the company?

The boss's question came. Who was responsible for answering this question? Who could answer it?

Smart, you should realize that your chance has come. Excel can't be done or is difficult to do with traditional usage. Don't talk to me about SQL, that's for IT. Don't talk to me about VBA. That's what you say if you don't understand VBA.

Bottleneck 2: What does it mean to be unable to package multiple tables? Does someone ask you to use VLOOKUP every day? V this table, V that table, you're doing it 10 years ago.

Bottleneck 3: Drawing is not beautiful enough. After spending a whole day writing a bunch of complex functions and finally making a "data report," the boss suddenly said:

"This chart is too ugly, you change it, give it to me before work..

Have you ever encountered such a situation? Tragedy! Looking at so many complex functions, you can only start again. You should have encountered this situation ~

Excel is easy to get started, but it is difficult to master. To achieve some exquisite effects, users often need to skillfully use many small skills to complete it. It is too time-consuming and laborious to do some chart details. In the field of data visualization in business intelligence, there is a special methodology, which is not easy to satisfy traditional Excel practices.

Bottleneck 4: In the data era, the amount of data is calculated by hundreds of thousands of millions. Although Excel has introduced pivot tables, it can perform some simple drag and drop statistical operations, but Excel can put 100W rows in a single table, and tens of thousands of data are likely to cause your computer to crash and get stuck.

Bottleneck 5: How to send out the finished things to collaborate

Email, screenshot? You are OUT.

Now playing cloud collaboration, APP, watch, big screen shock display.

What are the five bottlenecks of Excel in the data age? I hope the above content can be of some help to everyone and learn more knowledge. If you think the article is good, you can share it so that more people can see it.

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