Still using Excel for data analysis? Others are using data analysis tools!

"Excel is an extremely good and genius tool in the past, present and future. Countless devout believers regard it as the only method, but I am not in it anymore."

As a data analyst, Excel is an essential data analysis tool for me to get started. Although it is quick to get started, it also brings me a lot of inconvenience and various complicated problems.

Once the amount of data exceeds 100,000, or the functions and logic are more complicated, Excel can definitely get stuck in doubting life; if you want to realize the analysis and cleaning of data, you have to rely on various functions and VBA, which is as cumbersome as any programming Language; There is no way to guarantee the original appearance of the data in the process of business circulation. I don’t know how many times the Excel sheet has been modified.......

Believe that I have experienced this, whether it is a data analyst or other positions, I should have the same feeling.

Still using Excel for data analysis?  Others are using data analysis tools!

At present, Excel is still the most widely used data cleaning and statistical software, but it does not mean that it is an easy-to-use data analysis tool. Excel is only suitable for data volumes within 300,000. Once your needs exceed this data volume, Excel data analysis There will be errors in the tools, and even your behavior will become cumbersome.

In fact, for data analysis, there has never been the best and most difficult tool to use, only the software that best suits you and the business scenario.

It is precisely because Excel has so many shackles that cannot be ignored, so I abandoned Excel for data analysis a long time ago and turned to professional BI software.

Let me introduce to you a data analysis artifact that is more efficient than Excel, supports self-service data analysis, and can apply complex and changeable scene requirements-Smartbi (Sematic software)

Still using Excel for data analysis?  Others are using data analysis tools!

Students who have heard about business intelligence BI have probably heard the name of Smartbi (Sematic software). Like Tableau and PowerBI, they are currently the most popular and widely used self-service BI tools, data analysis software and visualization artifacts at home and abroad. .

Dynamic and static data visualization

It supports Excel's built-in graphics, is compatible with Excel's conditional format, and works with ECharts data visualization (maps, word clouds, etc.):

1. Support all built-in graphics, background images, conditional formatting of Excel, etc., and can design complex dashboards

2. Complete ECharts graphics library, support 3D dynamic models, and support graphics extensions such as: integration of other HTML5 graphics controls

3. Built-in Baidu map interface, users can quickly make data maps based on accurate geographic coordinate information (such as latitude and longitude)

Self-service analysis for Excel users

With the help of plug-ins, you only need to be able to use Excel to get rid of the constraints and truly realize the self-service data analysis of business personnel:

1. Data mixed processing: Combine online and local data to complete data reprocessing in Excel

2. Data analysis: users directly use Excel calculation formulas, charts, and pivot tables to analyze and display data

3. Data sharing: Excel template and data are separated to realize template safe sharing

WYSIWYG self-service dashboard

Tailored for business personnel, self-service analysis is completed on one screen, the interface is fresh and refined, and you can master it in 10 minutes:

  1. WYSIWYG dashboard design, built-in multiple theme styles

  2. Abundant interactive controls and chart components, providing smart picture matching suggestions

3. One dashboard with two layouts, which can be published across screens to computers and mobile phones

to sum up

In fact, Smartbi (Sematic software) has many advantages, such as completely zero coding. For people who are unable to program, the operation is as simple as Excel but more powerful than Excel. Some people may be wondering whether or not to abandon Excel. In fact, being abandoned is not a bad thing, because Excel is not suitable for comparison with professional BI software, only the software that is most suitable for them and the business scenario. I have to say that there is a specialization in the surgical industry, and data analysis is really not suitable for Excel. There is no diamond, no matter how superb Excel skills can be compared to a good professional tool!

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Origin blog.51cto.com/15081336/2639364