SAS-STAT Software Erfahrungen

Data warehousing and analysis elegant software

Kommentare: I am working with large databases (several millions of rows with hundreds of columns) almost a year, and I can imagine what I would have done without SAS. It is fast, comprehensive, capacious in comparison with other statistical packages. It handles the data gracefully.

Vorteile:

What I like about SAS is that there are no limits - You want to join 20 tables and filter with 10 parameters? - Go ahead! You want to merge, transpose and show the sum of just one parameter? Go ahead! Did not like the interface? Filter out what you need, download it and work in Excel. In SAS working board you can run several projects, save them and open them later. SAS has also other components such as Data Miner, Quality Control etc. when facing different business challenges.

Nachteile:

Although the interface is user friendly, but if you wish to do the coding, instead of dragging up and down the functions, you will be needing some advanced training. Another con worth mentioning is that when opening Excel database in SAS, the columns should be examined thoroughly, and type and length of the variable must be predetermined, otherwise the work should be done again. To Apple lovers - SAS is not compatible with macOS.

Offers a wide range of tools to analyze statistical analysis like ANOVA, Regression, Correlation.

Kommentare: Analyzing statistical data including complex breeding trial can be performed in SAS but it is expensive option for many researchers.

Vorteile:

The effectiveness of the software is out of question. This is a very effective software for all sort of statistical analysis. Linear mixed modelling, ANOVA, Regression and correlation are done easily and effectively by using several SAS procedure (e.g. Proc GLM, Proc Mixed, Proc Glimixed etc.) It also produces graphs and other visual representations of the output.

Nachteile:

The lone negative side of this software is that it is very expensive one. Only, institutes with good funds available in hands can have the opportunity to use this exclusive features.

Great analytics but the age shows

Kommentare: If you're familiar with sql, learning the syntax for sas would not be too hard. However, with the number of versions this software has gone through there are a lot of redundant commands. Different codes that are used in different procedures that do the same thing but the developers never bothered removing the older commands which make it feel clunky.
Nonetheless, a reliable statistical software that is powerful and understandable.

Vorteile:

This software is very reliable. There are a lot of analyses that are available in the saved procedures (proc) thus less need for having to code from scratch. They have good graphing options. I find the syntax is intuitive because of the amount of actual english words in it so it, similar to sql

Nachteile:

Paid software. Overlapping commands that have different codes but do the same thing. If you're used to programming in c, this might feel a bit restrictive because of the existing syntax. If you have questions, your guide will probably come from official documentation only as the community is not very active in online fora.

SAS EG v7.1 is a great data analytics tool with Project files to store process flows

Kommentare: Overall for Huge data volumes, SAS is one of the best tool for Data Analytics, creating data marts and where specialized layers needs to be build for modelling & statistical usage. Cost needs to be handled carefully.

Vorteile:

Great UI to aid non-programmers and ability to slice & dice large data with inbuild query creators makes it easy to use. Macro utility within SAS is a Top feature to deploy recurring codes and everything runs on server data.

Nachteile:

With advent of new versions, embedding proc import/export with codes is still a challenge, one needs to do it using wizard which is a manual intervention.

Powerful, quick analytics and visualization

Kommentare: I get easy to present results and well-inderstood visualization graphs. The software is world-class.

Vorteile:

I've used SAS for almost 20 years. Recent developments have made the software much more user-friendly.

Nachteile:

Learning and using SAS still require a heavy investment in time and human capital. Once the investment is made, it's worth the effort, but it's difficult sometimes to gain all the skills required for all of the potential tasks.

Powerful, Supported, Expensive

Vorteile:

Great support, features. Overall, whenever I needed to learn more beyond SAS Base, I was able to use the online documentation to help - and that was superb.

Nachteile:

It's so dang expensive. If the price could go down just a little, it would make it more profitable in my opinion. Overall, I think a lower price and a bit easier to use language would be nice

Excellent product

Vorteile:

No limitations on the amount of data to manipulate and once you learn how to use it, it’s very simple. It allows you to manipulate data and simplify it for presentation and research purposes. I love making tables and doing frequencies

Nachteile:

It takes a long time to learn. It’s like a whole different language so patience is needed

SAS is powerful, but complex

Vorteile:

SAS is extremely powerful and able to handle very large datasets. Management of tables and databases are relatively​ easy to manage and ensure that not all users rewrite tables.

Nachteile:

The coding for this program is by far the least intuitive language I have learned. That being said, once you understand the basics with a large learning curve, it's not that hard to do pretty much anything you want to do.

SAS opens doors

Kommentare: SAS has been great because I know I'm getting the correct results.

Vorteile:

SAS stat makes it relatively easy to spit out a lot of useful information about your data. Charts, graphs, and summaries come out quickly without much code.

Nachteile:

There is a steep learning curve and SAS is not a forgiving programming language, so if you don't have experience with SAS, expect to take some time to learn.

Go play with your data!!

Vorteile:

Codes and running of programs are easy and handy. Its very easy for students to learn the codes and use the software. It is useful for data analysis and inference.

Nachteile:

The price is a-bit high to be affordable to all people.

Complete Business Intelligence Suite

Vorteile:

I am using SAS since last 8 years and I have used it in DWH using DI studio, SAS EG for reporting and Web Report Studio, SMC etc. I can say it is the best solution of all problems related to data and works perfect. You need to have expertise to work around this but it is not that tough to learn like Java etc.

Nachteile:

Cost effective and you need to have technical expertise to work around this tool. some functionality are tough to learn and it may take years to be expert on this tool set.

SAS for Analytics

Vorteile:

There are tons of examples and answered questions available with a simple Google search. You can generally figure out how to accomplish your task by doing a little research.

Nachteile:

The interface could use some updating...it seems old and dated. Need to intriduce new functionality in order to keep up with R and Python, which I prefer using.

Sas the best software for Research data analysis

Kommentare: Overally im impressed with SAS.

Vorteile:

The software is a wholesome package for data analysis as it gives not only the anovas but also the graphical output which is very ideal when making presentations and when presenting your findings be it in a thesis or for business. Its easy to use since you just need the code to run your specific analysis and you are good to go. It saves you a lot of time in that it works nicely with outputs from other statistical packages when you want to do advanced analysis, there is no or minimal manipulation when you want to run such output using SAS.

Nachteile:

The fact that it is not a free software, one that you can use without a licence

SAS is the benchmark software in the field I work in (biostatistics)

Vorteile:

It is the most validated software in the analysis of data from clinical trials and Bioequivalence. The standard accepted by the regulatory authorities.

Nachteile:

Somewhat difficult to master. But the huge documentations availability resolve any faced issues

Love the idea of SAS, but too complicated

Vorteile:

I love that SAS allows highly complex and conservative analyses so I know that my findings are valid and fair; I am always confident that my results can generalize to others because SAS allows more analyses.

Nachteile:

It really requires a statistician or engineer to be able to use all of its tools, and I am neither, so I rely on SPSS.

my favorite statistical analysis app

Vorteile:

SAS/STAT is my favorite statistical analysis app. Its plenty of fully tested PROC packages provides excellent ways to fulfil my analytical tasks.

Nachteile:

Dealing with big size data is a problem.

Expensive and heavy software

Vorteile:

can handle large scale data very easily. Industrial scale software to run big data

Nachteile:

installation takes a long time and consumes a lot of space on your PC. Doing the same thing in Python takes less effort.

Good for data work at low level

Vorteile:

Not a very steep learning curve, plenty of resources online for help with code

Nachteile:

Few data presentation options, model options, non-intuitive syntax

An astoundingly Powerful tool that allows for quick and effective analysis and a whole heap of stuf

Vorteile:

Quick and seamless integration with Microsoft office based tools. Easy manipulation of data in terms of reporting

Nachteile:

Can be quite challenging to get your head around the different uses for the software just the massive scale can make the software overwhelming

Great paid software for statistical analysis

Vorteile:

The software is a paid one and thus it has a wide amount of tools and support for use, it also has an integration with other tools such as JMP Genomics.

Nachteile:

The software is aimed mainly at analysis but does not allow you to go for the full extent of developing new techniques for analysis as you can with open programming languages such as R.

The start up tutorial was helpful for those starting from scratch.

Vorteile:

It allows me to display my data in a more powerful way and there are guides on SAS.com to walk you through more in-depth processes.

Nachteile:

It looks like it was made in 1995. I also had issues with SAS 9.4 being 64-bit. I had to change my code so it would run because of this.

very good software, takes time to pick up

Vorteile:

Can do just about any analytics operation one might need quickly. Documentation ins extensive and helpful.

Nachteile:

The UI is difficult to get used to. Graphs and other visualizations aren't as good as other competitors.

Grad school

Vorteile:

Used it for most research, including dissertation. Easy to learn, not too complicated with coding.

Nachteile:

It’s a bit of a headache to learn all the macros and such.

SAS has allowed me to perform functions that used to take hours to do within a matter of minutes.

Vorteile:

SAS takes a bit of time to get comfortable with, but once I gained a base level of competency with the program, I found that each new function was easier to understand / utilize.

Nachteile:

The SAS coding language is not user-friendly; other statistical programs have more easy-to-understand and intuitive coding language, but lack the functionality and breadth of programming capabilities that SAS has.

Great program for what I need to do!

Vorteile:

I like that the software is very versatile that has lots of features and able to run many scripts to extract Data.

Nachteile:

It is a very difficult program to run. It is not for the amateur computer person. It requires high level skills.