SAS Data Management

Can access data from multiple sources, can be used for data quality checks and perform statistical analysis while handling large and complex data sets.

More expensive as compared to other software if the needs are limited. If needs are higher and you can afford it then it is definitely worth it.

easy to use, functional
very useful in statistics and data science

some coding takes a while
older product compared to SPSS, etc.

1)The higher level functions such as SQL and Macro code or graphics that can be used to run more complex epidemiologic analysis.
2) That the language does have a structure so that once you learn the basics you begin to practice and interpret more complex coses
3) That you can actually set up codes to run overnight
4)That there are furum online actually do a pretty job of answering most code errors questions if you google them
5)That program does have a way of recovering unsaved code from yor c drive
6)The sas support is fanstatic and was able to help me with even very obscure and difficult code questions.

1) That the graphics / tables from sas output are not as presentation ready or easy to format as the output from programs like STATA or Excel.
2) That while its great you can use basic building blocks to understand more an more complex sas code it is still fairly challanging to get the hang of at first and maybe not as intuitive as other programs. SAS is also aptly named in that it will give you attitude for minor spelling or punctuation errors in the code.
3) SAS as a program and sas training are fairly expensive and there is a legitimate cost deterent for many schools / businesses to be able to purchase it and to be able to train their students/staff in using it.

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.

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.