SAS Analytics Reviews

We use this solution for CRM and retention marketing.

This solution has helped us materially grow multiple business categories.

The most valuable feature is the ability to handle large data sets.

This solution should be made more user-friendly. It needs a better visual output to explain logic to senior executives.

The primary use of SAS Analytics in my area is mostly of statistical modeling, such as logistic regression, survival analysis, and longitudinal analysis as well as producing tabular summary results.

It has facilitated timely analysis results with quality work, meaningful output, and consistent data use.

Modeling ones and figures, such as PROC LIFETEST, PROC LOGISTICS, PROC GPLOT. PROC FREQ and PROC MEANS, are also among the valuable features.

In the graphical area much more improvement is still needed. Once a SAS figure is produced one would like to modify things, such as titles, legends, and incorporate risk sets as a footer on the plots.

I use SAS daily to analyze data, produce reports, and other outputs. I also use it to replicate our entire financial system to verify/duplicate calculations.

SAS Business Intelligence is well-suited for our large corporation. We have demand for scalable and reliable insights into information which is housed in our large systems.

SAS is a third-party software, therefore it absolutely has to "play nice" with other software platforms. It is able to connect to all major platforms, and all the smaller platforms that I have come across. 

It has also been around for an extremely long time, has a strong history, and good market penetration.

The training for SAS Business Intelligence is often difficult to arrange. It is often cancelled due to not enough people being enrolled.

Support at universities used to be limited, but I hear this is changing.

The cost for SAS Business Intelligence can prove to be a little prohibitive.

Setting national auto insurance rates based on predictive analytics. SAS Analytics supported all data cleaning, historical data maintenance, summary analytics, predictive analytics, and scoring needs.

It allowed us to integrate all necessary activities, including them in a single, easily manageable process. Prior to our adopting SAS to drive the solution, a combination of database software, manual activities, and custom programming languages were needed.

The ever increasing number of functions and analytics which are added to the product each year. They have provided virtually everything we have needed to accomplish our task, as well as continuously improving our accuracy.

The company has always utilized user feedback to improve the product and has continuously exceeded my expectations. 

The only feature I would like to see them add is one they already have, but in a different product. I.e., I would like to see their interface to R added to either Base SAS or SAS Analytics.

Our previous solution involved database systems and programming languages which were difficult to either manage, modify, or control. SAS Analytics provided a far better solution to all of the above and was far more cost effective.

• Setup costs were quite reasonable.
• Prices were comparable with alternative solutions.
• Licensing was rather straightforward.

SPSS, Microsoft Analytics, and IBM were evaluated.

Mostly used for quantitative analyses which include descriptive and inferential statistics. It is also used for generating reports and summary statistics of findings.

It has improved the level of efficacy and validity of our reports. This has also extended to the area of customer service and relations.

The availability of various statistical concepts, including statistical techniques and methods.

It is more on the side of the cost. It is relatively expensive. It is not an easy software to afford.

We did use a previous solution. We switched for a better quality of result.

The price is relatively high.

We evaluated SPSS.