Data analysis software Excel, R, Python, BI tools, the industry generally used more than Excel and BI, mastering these two can meet most of the business needs

1, Excel

We are familiar with the software, data analysis in the field of entry-level tools, but also the most commonly used tools for daily work, commonly used function is the pivot table.

2, R and Python

To get started is relatively simple, data import and export operations are convenient, data analysis scenarios are as follows:

3, BI (Business Intelligence) tools

First, popularize what is the BI, which is used to solve what?

Here to quote a scenario to explain the image: most companies are now on the OA, ERP, CRM and other systems, and these systems run for a period of time, is bound to help companies collect a large amount of historical data. However, in the database scattered, independent existence of a large number of data for business people, just some can not read the book.

What business people need is information, concrete information that they can read, understand and benefit from. At this point, how to transform the data into easy to understand information, so that business people (including managers) can fully grasp, utilize this information, and assist in decision-making, that is, Business Intelligence that BI is the main solution to the problem.