Big data? Here you go!

We automated our daily data work with this tool, there is no need to dig in the same things over and over again. It's perfect, time saving and easy.

Pros

This is a must have tool for companies that deal with big data in their everyday work, it's easy to use and get insights even if you are not a data scientist :) It has a very user friendly interface and you can skip the coding part if you are not comfortable with that.

Cons

The visualization options are not so good. There are no other disadvantages noticed that I don't like.

A tool for compiling and analyzing multiple numerical variables in organizations

For the organization has facilitated the handling of a large volume of statistical information that allows generating reliable information that allows decision making more efficiently.

Pros

Several interesting elements that stand out in this tool, the first is the use of JMP elements to take advantage of the graphic interface that makes non-technical users more friendly, on the other hand the use of DATA allows the recovery and manipulation of large amounts of data related to time series and econometric analysis that impact on the profitability of the company. It also highlights that SAS allows to generate reports or reports of data efficiently in programs such as HTML, PDF, Excel and other formats.

Cons

The difficulties of SAS are found in the PROC steps, which analyze the data since each step consists of a series of complicated statements that provide instructions to read a data set or modify the form of the data that at the time of compilation and execution they can alter the results if the sequence or executable instructions programmed by the user of the program is clear, for this a level of programming and intermediate mathematical knowledge is needed, preventing anyone from using the program.

[SENSITIVE CONTENT HIDDEN] review

I like sas overall and it has really helped in my job.

Pros

I use the sas EG package and it works really well with large amounts of data. The coding language is easy to pick up.

Cons

The log files are sometimes hard to debug so having better logs would help the user debug their specific code.

A powerful tool for big data management

SAS DM is one of today's most powerful tools for big data management and analysis. We use the company as an analytical tool assisting the BI department, and for visualization of extracted data, in an extremely detailed and analytical way.

Pros

The ease of implementation and integration with different databases.

Cons

Local support is still poor, and troubleshooting research is needed.

Best Software for Statistical Analysis and Data Management

It is great and allows me to thrive at work when working with large datasets and complex manipulations.

Pros

Once you learn the syntax there is nothing SAS can't do. Handle any dataset, small or large, with ease.

Cons

Can crash on rare occasion, but what software doesn't.