What do you like best?
I love that the coding language for SAS is consistent across similar types of functions, as well as that SAS has amazing documentation to look up any function or procedure, including examples. I learned SAS first in college, which does make me biased to liking the tool more, but there is so much more I can do in SAS than most other data analysis tools. R being open source makes it difficult for me to remember code across different functions (& you have to download packages that are already built in functions in SAS). Stata provides both the ability to write in the coding language & some drop-down functionality, but the user interface is not my favorite. SPSS is pretty much all drop-down/drag & drop, which winds up taking more time than necessary. Python I know is a favorite of many, but I like my old-school SAS. I can run SQL functions on data I have pulled from our database, & actually be able to see tables along the way in re-formatting & working with data, as well as create visual tools, which I can't do in the database with straight SQL. Overall, SAS for me is the most comprehensive data analysis tool out there.
What do you dislike?
It can eat up memory & space on your laptop if running directly on the computer, but if it is connected with a server, you can schedule code to run (even using a pass through to your database) to run data while not even in the office!
Recommendations to others considering the product
Go online & use the examples & help others have posted, as well as SAS' own documentation
What business problems are you solving with the product? What benefits have you realized?
In all of my daily work I do & ad-hoc analyses, I find myself using SAS. I use it for reports, working more visually with data across many tables I have pulled from the database, modelling. & creating visuals.