Most Helpful Review
Find out what your peers are saying about IBM SPSS Statistics vs. SAS Analytics and other solutions. Updated: July 2019.
359,556 professionals have used our research since 2012.
We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
It has helped our analyst unit deliver work with more transparency and confidence, given that we can always view the dataset in totality, after each step of data transformation.
The learning curve to using this product is not steep. The program is appropriate for those who do not have a lot of background in programming, yet have to perform basic statistical analysis.
Custom tables and macros: They allow us to create useful reports quickly for a broad audience.
in terms of the simplicity, I think the SPSS basic can handle it.
Modeling ones and figures, such as PROC LIFETEST, PROC LOGISTICS, PROC GPLOT. PROC FREQ and PROC MEANS, are also among the valuable features.
It has facilitated timely analysis results with quality work and meaningful output.
I use it to replicate our entire financial system to verify/duplicate calculations.
I use SAS daily to analyze data, produce reports, and other outputs.
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.
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.
They have provided virtually everything we have needed to accomplish our task, as well as continuously improving our accuracy.
Needs more statistical modelling functions.
Better documentation on how to use macros.
Perhaps in terms of visualization. It's not really easy to do some data visualization, just simple, descriptive analysis in SPSS. I think that could be an area for improvement.
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.
Support at universities used to be limited, but I hear this is changing.
The training for SAS Business Intelligence is often difficult to arrange. It is often cancelled due to not enough people being enrolled.
I would like to see their interface to R added to either Base SAS or SAS Analytics.
Pricing and Cost Advice
Our licence is on a yearly renewal basis. While pricing is not the primary concern in our evaluation, as products are assessed by whether they can meet our user needs and expertise, the cost can be a limiting factor in the number of licences we procure.
More affordable training for new staff members.
If it requires lot of data processing, maybe switching to IBM SPSS Clementine would be better for the buyer.
The cost for SAS Business Intelligence can prove to be a little prohibitive.
Setup costs were quite reasonable.
Prices were comparable with alternative solutions.
Licensing was rather straightforward.
It is relatively expensive. It is not an easy software to afford.
out of 16 in Data Mining
Average Words per Review
out of 16 in Data Mining
Average Words per Review
Compared 30% of the time.
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Also Known As
|Your organization has more data than ever, but spreadsheets and basic statistical analysis tools limit its usefulness. IBM SPSS Statistics software can help you find new relationships in the data and predict what will likely happen next. Virtually eliminate time-consuming data prep; and quickly create, manipulate and distribute insights for decision making.||SAS was founded in 1976 and actually began as a project at North Carolina State University to analyze agriculture research. It has since become a global company that is recognized for its innovation in data analytics and business intelligence. SAS is redefining what's possible with data analytics through greater efficiency, strong information value chains, effective collaboration tools, and state-of-the-art visualization software. SAS Analytics is designed for use in a variety of industries including government, manufacturing, higher education, defense & security, banking, automotive, communications, and much more. SAS Analytics is a business intelligence (BI) solution that has the ability to reveal patterns and anomalies in data, identify relationships and different variables, and predict future outcomes. Users of SAS Analytics will benefit from making more sound, better informed business decisions based on company data and market trends. Data mining, data visualization, text analytics, forecasting, statistical analysis, and more are all available through SAS Analytics. Staples, which boasts $27 billion in sales across the globe, has a business philosophy that prioritizes customer loyalty and satisfaction. In order to better engage their customers, Staples utilizes SAS Analytics to plan finely tuned marketing campaigns. Through forecasting and advanced analytics, Staples has been able to rely on fewer contractors, and cut their marketing budget, while improving their customer retention rate.|
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