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January 18, 2020
We piloted SAS AA at my organization to see how well it compares with other free software tools such as RStudio and Anaconda. So far what we saw was very impressive especially with the visual display but was a little out of our price range. Nonetheless, we were very impressed with the tool overall and would recommend it to other companies particularly those with limited programming expertise.
- Easy-to-navigate drag and drop display.
- Great visual dashboards.
- Price point was too high given the level of use we would anticipate.
- More comprehensive training.
Currently, we are using it for a strategy engine that makes decisions on accounts and members' credit accountability and sends the decision to other collection systems. Various analytical and predictive models are built using SAS Advanced Analytics.
- Well established predictive and statistical models
- Easy to code using base SAS as it supports multiple analytical procedures and functions
- Easy to execute and maintain
- Enhanced reporting capabilities
- Better visualization
January 19, 2019
SAS Advanced Analytics is used only in certain departments that do advanced analytics. The program is used for data mining, text analyses, support vector machines modeling, ensemble modeling, neural network modeling, and various other processes. The program is part of an automation movement for processes that get repeated frequently, although most of the usefulness of the program is in the new modeling projects during the development process.
- The user interface of SAS Advanced Analytics is one of the easiest I have used. The software is easy enough for a professional to self-learn. With that said, a professional should probably have some experience in advanced analytics to get the most use out of the software.
- The web interface of SAS Advanced Analytics makes it easier to produce analyses from any computer anywhere in the world.
- The number of options available for simulations is world-class. Additionally, SAS makes it easier than most other software tools to see exactly what it is doing. Other software tools built for the professional analyst are less straight-forward.
- SAS Advanced Analytics takes a while to get doing. SAS could improve the startup process. Because the software starts so slowly, I have to be completely committed to doing analytics for a good period of time before I will open the software.
- The default color schemes on Advanced Analytics are not very nice to look at. It's almost as if SAS read Tableau's playbook and said, "hey, let's do the complete opposite." Bad decision.
- SAS could make the process of learning the analytics steps of SAS Advanced Analytics simpler. Although it is generally more simple than other tools, that doesn't mean it's perfect.
May 22, 2018
Currently, in our organization, SAS is used for highly statistical analysis of customer engagement data. We also use for forecasting the customer engagement pattern with SAS. In this capacity, we use a special tool called Forecasting Studio for Desktop as well which has built-in models available for statistical and events based forecasting.
- SAS is can be used as query builder tool which can automate a lot of excel process.
- There are variety of statistical options available that tie up good visual analytics.
- There are inbuilt models available for different operations which doesn't require any coding and are easy to run.
- Query builders have less functionality compared to some tools like alteryx.
- Modifying and customizing outputs are still a cumbersome process.
- Coding for special tasks is difficult and lengthy.
Was used by two departments to solve all analytical requirements. The software was used primarily to address data quality, summary analytics, predictive modelling, and insurance rate setting needs.
- Extremely versatile combination of available functions
- Includes all critical analytical capabilities
- Includes and interface to R for the few, newer approaches, that haven't yet been incorporated
- No needed improvements. Company continues to add more capabilities each year
November 18, 2016
It is being used for data visualization with quick and highly responsive dashboards.
- Good data preparation tools
- Well written code with few critical errors
- Responsive customer support
- More focus on presentation aspects with additional graph objects like donut pie charts
- More focus on production readiness including high availability and automatic monitoring of logs
My organization uses SAS Analytics for advanced analytics. It is used in various departments, including human capital and information management. It is used for predictive modeling, data manipulation, clustering and optimization.
- SAS Analytics is excellent for modeling. You can use a variety of modeling techniques and SAS Analytics produces robust reports on the model you are creating.
- SAS Analytics is excellent for data exploration. It has good etl capabilities, and once you have the data loaded you can preform a lot of statistics and other explorative measures.
- SAS Analytics does not have very good graphic capabilities. Their advanced graphics packages are expensive, and still not very appealing or intuitive to customize.
- SAS Analytics is not as up-to-date when it comes to advanced analytical techniques as R or other open-source analytics packages.
December 04, 2014
We utilize SAS first and foremost to construct and implement multiple predictive models across our business units. Not only does it allow for quick and easy model construction, but the time it takes to cleanse the data between large or small datasets is relatively similar so dataset size is not an issue. In addition, we are also in the early stages of using SAS and SAS Office Analytics to create an intelligent reporting platform via Microsoft Office products and the SAS Web Portal. This allows our organization to traffic important data and information to non-SAS users through automated processes. SAS also has impeccable format style making the final drafts look very nice and easy to understand. SAS Enterprise Guide is our point and click interface that allows power users to access the full potential of SAS without needing to know coding off hand, but can also choose to do so if need be. We can also access any datasource using the ODBC connection that comes with SAS Office Analytics so accessing the data from any server or database is not an issue at all.
- Predictive Analytics
- Business Intelligence
- Report Automation
- Statistical Analysis
- Expanded point and click options under the data tab.
- Better resource information to help with circumstantial issues (i.e. graphing).
- Online training
- Self-taught
Yes - Upgrades are totally seemless. A company's IT resource will receive any upgrades via email and they simply click on the link, enter the necessary credentials, and install the software. Every upgrade is automatically integrated with any older versions so no migrations are necessary. End users will not even notice the upgrade except for the augmentations SAS made to the interface.
November 11, 2014
My team used SAS to integrate data from across our organization into an End Customer marketing and sales database for use in reporting and analysis.
- Data transformations
- Processing large datasets
- No big complaints, pretty robust functionality
September 12, 2017

I currently use SAS Advanced Analytics to analyze data coming in from the state level Behavioral Health Risk Factor Surveillance System and the Youth Risk Behavior Survey. I focus on tobacco data and SAS is extremely important when looking at this data. I use SAS STAT to analyse the data using survey procedures. Because BRFSS and YRBS are complex surveys I must use the survey procedures in SAS to get weighted frequencies, means and estimates. It is extremely easy to use SAS for these analyses, because the procedures are pretty repetitive. However, I do wish that the strata, weight, and cluster variables did not have to be typed with each procedure done. When using STATA or SPSS these variables are entered once, and the weighted results are automatically given when writing procedure. No need to enter them in for each. However, I am more comfortable with SAS coding and really like that it is user friendly. The online support for SAS is wonderful as well.
- Complex Survey Analysis- SAS is a great resource if you need to analyze complex survey data. One can easily write code for this by inserting (survey) in front of the procedure with the weight, cluster, and strata variables. (ex: surveyfreq)
- Modeling/ Graphing- SAS creates clean and easy to understand graphs and models which take visual data to the next level.
- Support- There is a large SAS Advanced analytics online support in place. It is easy to find help on many procedures that you will use in this software.
- SAS requires a lot of coding compared to other software like STATA or SPSS. However most of the code is repetitive , an easy copy/paste.
- SAS Advanced Analytics is not always easily learned, most people would need some training before getting comfortable with the software.
- The layout of the modeling system may get confusing when too many different windows are open, may need to look at different graphs and models one at a time.
SAS Analytics is being used by the marketing department in the organization. It is used for building a predictive model which eventually increases the return on investment on marketing campaigns.
- Base SAS is very helpful for people who are proficient in SAS programming.
- SAS Enterprise Miner is very helpful for people who are not so proficient in SAS programming.
- Using SAS Enterprise Miner you can develop complex Machine Learning algorithms.
- Accessing the data from the database directly.
- Speed of response for SAS codes.
SAS is used to gather and analyze data at my company.
- It allows user to view data using different graphs and charts.
- it allows user to export and print data in several ways.
- It allows user to import large amount of data easily.
- Navigation needs to be easier.
- It's expensive for a small company.
- So far, SAS is the best tool for me to manipulate and analyze big data (I also use R and SPSS). It can handle enormous data files and the number of records is generally limited to the size of my hard disk.
- It comes with PROC SQL procedure which allows me to perform SQL queries on the SAS data files. With only SAS, I can do whatever I need to my datasets.
- Although sometimes writing SAS codes is a bit tedious, its Macro procedure allows me to simplify my work. I also can save the codes and run them periodically.
- The learning curve is much steeper compared to the other analytics softwares. But it is such a powerful tool that once you learn it, you will love it.
SAS Advanced Analytics Scorecard Summary
What is SAS Advanced Analytics?
SAS Advanced Analytics is the company's suite of applications and modules for advanced statistical analysis and predictive modeling. Products from the suite are available a la carte or in bundles, such as SAS Analytics Pro, which offers an alternative to mixing and matching software by combining Base SAS, SAS/STAT, SAS Studio, and SAS/GRAPH into one desktop package.
Categories: Predictive Analytics
SAS Advanced Analytics Competitors
SAS Advanced Analytics Technical Details
Operating Systems: | Unspecified |
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Mobile Application: | No |