Most Helpful Review
We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
You can find a complete algorithm in the solution and use it. You don't need to write your own algorithms for predictive analytics. That's the most valuable feature and the main one we use.
The best part is that they have an algorithm handbook, so you can open it up and understand how it works, and if it is useful, this is very important.
Some of the most valuable features that we are using with some business models are machine learning algorithms, statistical models given to us by the business, and getting data from the database or text files.
Most of the product features are good but I particularly like the linear regression analysis.
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.
The most valuable feature is the ability to handle large data sets.
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.
Each algorithm could be more adaptable to some industry-specific areas, or, in some cases, adapted for maintenance.
The statistics should be more self-explanatory with detailed automated reports.
Technical support needs some improvement, as they do not respond as quickly as we would like.
I think the visualization and charting should be changed and made easier and more effective.
Needs more statistical modelling functions.
This solution should be made more user-friendly.
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
We think that IBM SPSS is expensive for this function.
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.
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
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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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