IBM SPSS Statistics vs SAS Visual Analytics

IBM SPSS Statistics is ranked 7th in Data Science Platforms with 4 reviews vs SAS Visual Analytics which is ranked 2nd in Data Science Platforms with 3 reviews. The top reviewer of IBM SPSS Statistics writes "Provides a good number of modelling techniques although data visualization is not easy to do". The top reviewer of SAS Visual Analytics writes "the best tool for insightful and analytical dashboard development and reporting". IBM SPSS Statistics is most compared with IBM SPSS Modeler, SAS Enterprise Miner and KNIME. SAS Visual Analytics is most compared with Tableau, Microsoft BI and QlikView. See our IBM SPSS Statistics vs SAS Visual Analytics report.
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Quotes From Members Comparing IBM SPSS Statistics vs SAS Visual Analytics

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
Pros
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.

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Quick deployment to dashboards and analytics features (using SAS Visual Statistics and Enterprise Guide). Easy to create a simple forecast and discover business insights using segmentation tools.Simplifies report designs and quickly displays tables and graphs.The speed to display charts and react to users' choices is great.The alert generation feature also helps in sending out ad hoc messages to the business users if business thresholds have been crossed.

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Cons
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.

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Better connectivity with other data origins, better visualization, and the ability to create KPIs directly would all help.There are scalability issues. It depends on the data volume and number of end-users. VA requires a lot of hardware resources to move volumes of data.The charts and tables could use better sorting, primarily using other variables than the ones on the figure. If they could implement views like in the older version (previous to Viya), it would be very nice.Colours used on report objects

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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.

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Licensing is simple.

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report
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287,901 professionals have used our research since 2012.
Ranking
RANKING
Views
5,028
Comparisons
3,720
Reviews
4
Followers
341
Avg. Rating
6.8
Views
29,043
Comparisons
17,399
Reviews
2
Followers
1,624
Avg. Rating
8.0
Top Comparisons
Top Comparisons
Compared 5% of the time.
See more IBM SPSS Statistics competitors »
Compared 44% of the time.
Compared 12% of the time.
Compared 9% of the time.
See more SAS Visual Analytics competitors »
Also Known As
Also Known AsSPSS StatisticsSAS BI
Website/Video
Website/VideoIBM
SAS
Overview
OverviewYour 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 Business Intelligence package offers business owners an all-in-one tool for data analysis. It is mainly comprised of analytics software that can handle all of the statistical analysis that a company requires. Functions include mining and managing to fetching important information from a variety of sources and even adapting that information, all for the purpose of analyzing the data for future use.

The SAS Business Intelligence software allows users to handle, understand, and analyze their data in both past and present fields, as well as influence vital factors for future changes. Users can also create and publish reports based on their findings so that others in their field can share the information and input suggestions. The graphic presentation is another benefit that many businesses find useful when presenting their findings to others.

OFFER
Learn more about IBM SPSS Statistics
Learn more about SAS Visual Analytics
Sample Customers
Sample CustomersLDB Group, RightShip, Tennessee Highway Patrol, Capgemini Consulting, TEAC Corporation, Ironside, nViso SA, Razorsight, Si.mobil, University Hospitals of Leicester, CROOZ Inc., GFS Fundraising Solutions, Nedbank Ltd., IDS-TILDAStaples, Ausgrid, Scotiabank, the Australian Institute of Health and Welfare, the Blue Cross and Blue Shield of North Carolina, Oklahoma Gas & Electric, Xcel Energy, and Triad Analytics Solutions.
Top Industries
Top Industries
VISITORS READING REVIEWS
Financial Services Firm
18%
University
13%
Pharma/Biotech Company
11%
Retailer
11%
REVIEWERS
Financial Services Firm
20%
Government
10%
Transportation Company
10%
Professional Training And Coaching Company
10%
VISITORS READING REVIEWS
Financial Services Firm
24%
University
9%
Government
7%
Insurance Company
7%
Company Size
Company Size
No Data Available
REVIEWERS
Small Business
25%
Midsize Enterprise
13%
Large Enterprise
63%
VISITORS READING REVIEWS
Small Business
12%
Midsize Enterprise
23%
Large Enterprise
64%
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287,901 professionals have used our research since 2012.
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