Try our new research platform with insights from 80,000+ expert users

SAS Enterprise Miner vs SAS Visual Analytics comparison

Sponsored
 

Comparison Buyer's Guide

Executive Summary
 

Categories and Ranking

IBM SPSS Statistics
Sponsored
Average Rating
8.0
Number of Reviews
37
Ranking in other categories
Data Mining (3rd), Data Science Platforms (10th)
SAS Enterprise Miner
Average Rating
7.6
Number of Reviews
13
Ranking in other categories
Data Mining (7th), Data Science Platforms (17th)
SAS Visual Analytics
Average Rating
8.2
Number of Reviews
39
Ranking in other categories
Data Visualization (9th)
 

Mindshare comparison

Data Mining
Data Visualization
 

Featured Reviews

AbakarAhmat - PeerSpot reviewer
Sep 21, 2023
Enhancing survey analysis that provides valued insightfulness
I use it to analyze questionnaire surveys related to a product, solution, or application, such as open data services, which I provide to consumers and end-users. These surveys contain evaluation assessments, and I use SPSS to analyze the responses The most valuable feature is its robust…
HV
Aug 25, 2023
A stable product that is easy to deploy and can be used for structured and unstructured data mining
We use the solution for predictive analytics to do structured and unstructured data mining I like the way the product visually shows the data pipeline. The product must provide better integration with cloud-native technologies. I have been using the solution for 20 years. The product is very…
Robert Heck - PeerSpot reviewer
Feb 10, 2022
A great solution for big organizations, complex business requirements, and highly sophisticated and specialized statistics
There are a few little things that are predefined and can be done out of the box immediately. There is no business intelligence application that is predefined, which is something some customers or prospects would love to have. Small and mid-sized companies would struggle with it because they prefer something standard that has been predefined by somebody else. For instance the system does not come with a pre-defined accounting, budgeting or planning model for a particular industry. Some competitors come with such a model (e.g. for retail companies) which makes the implementation of course easier if the customer can comproise with this predefined model. SAS does not provide such models but does not demand customers to comply with a foreign business model.

Quotes from Members

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

Pros

"One feature I found very valuable was the analysis of variance (ANOVA)."
"The most valuable features are the solution is easy to use, training new users is not difficult, and our usage is comprehensive because the whole service is beneficial."
"Capability analysis is one of the main and valuable functions. We also do some hypothesis testing in Minitab and summary stats. These are the functions that we find very useful."
"IBM SPSS Statistics depends on AI."
"The solution has numerous valuable features. We particularly like custom tabs. It's very useful. We end up analyzing a lot of software data, so features related to custom tabs are really helpful."
"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 features are the small learning curve and its ability to hold a lot of data."
"Custom tables and macros: They allow us to create useful reports quickly for a broad audience."
"The most valuable feature is the decision tree creation."
"The solution is able to handle quite large amounts of data beautifully."
"The solution is very good for data mining or any mining issues."
"he solution is scalable."
"The setup is straightforward. Deployment doesn't take more than 30 minutes."
"The most valuable feature is that you can use multiple algorithms for creating models and then you can compare the results between them."
"I found the ease of use of the solution the most valuable. Additionally, other valuable features include: the user interface, power to extract data, compatibility with other technologies (specifically with PS400), and automation of several tasks."
"Most of the features, especially on the data analysis tool pack, are really good. The way they do clustering and output is great. You can do fairly elaborate outputs. The results, the ensembles, all of these, are fantastic."
"It integrates well with SAS, making it simple and quick for developers."
"We've found the product to be stable and reliable."
"The most solution's notable aspect, in my view, is the ability to integrate various data sources and harness advanced technologies such as machine learning and artificial intelligence. This helps with quality assurance processes."
"Visual Analytics is very easy to use. I use Visual Analytics for all the typical use cases except text mining. I used it to analyze data and monitor statistics, not text mining. I also use it for data visualization as well as creating interactive dashboards and infographics."
"It is a very stable solution."
"The alert generation feature also helps in sending out ad hoc messages to the business users if business thresholds have been crossed."
"Great for handling complex data models."
"I like SAS Visual Analytics for its ability to provide an initial understanding of data through exploration, even before deep analytics."
 

Cons

"Improvements are needed in the user interface, particularly in terms of user-friendliness."
"I feel that when it comes to conducting multiple analyses, there could be more detailed information provided. Currently, the software gives a summary and an overview, but it would be beneficial to have specific details for each product or variable."
"It could allow adding color to data models to make them easier to interpret."
"In developing countries, it would be beneficial to provide certain features to users at no cost initially, while also customizing pricing options."
"The product should provide more ways to import data and export results that are user-friendly for high-level executives."
"It would be helpful if there was better documentation on how to properly use the solution. A beginner's guide on how to use the various programming functions within the product would be so useful to a lot of people. I found that everything was very confusing at first. Having clear documentation would help alleviate that."
"The statistics should be more self-explanatory with detailed automated reports."
"I would like SPSS to improve its integration with other data-filing IBM tools. I also think its duration with data, utilization, and graphics could be better."
"Technical support could be improved."
"The ease of use can be improved. When you are new it seems a bit complex."
"Virtualization could be much better."
"The solution is very stable, but we do have some problems with discrepancies involving SAS not matching with the latest Java versions. It's not stable in cases where SAS tries to run on a different version because SAS doesn't connect with the latest Java update. Once a month we need to restart systems from scratch."
"While I don't personally need tutorials, I can't say that it wouldn't be helpful for others to have some to help them navigate and operate the system."
"The solution is much more complex than other options."
"The user interface of the solution needs improvement. It needs to be more visual."
"The visualization of the models is not very attractive, so the graphics should be improved."
"The solution should improve its graphics."
"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."
"SAS Visual Analytics could be more user-friendly."
"There is room for improvement in anti-money laundering prevention and operation monitoring, as well as operation monitoring surveillance."
"A bit more flexibility in the temperatization will be helpful."
"Colours used on report objects"
"The installation process can be a bit complex."
"There are certain shortcomings in the tool's support services, making it an area where improvements are required."
 

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."
"The price of IBM SPSS Statistics could improve."
"If it requires lot of data processing, maybe switching to IBM SPSS Clementine would be better for the buyer."
"We think that IBM SPSS is expensive for this function."
"While the pricing of the product may be higher, the accompanying service and features justify the investment."
"I rate the tool's pricing a five out of ten."
"More affordable training for new staff members."
"SPSS is an expensive piece of software because it's incredibly complex and has been refined over decades, but I would say it's fairly priced."
"The solution must improve its licensing models."
"The solution is expensive for an individual, but for an enterprise/institution (purchasing bulk licenses), it is not a high price for the use that will come from it."
"This solution is for large corporations because not everybody can afford it."
"I work with the tool's free version...The tool's corporate version is very expensive and requires a monthly hire."
"Licensing is simple."
"It was licensed for corporate use, and its licensing was on a yearly basis."
"Visual Analytics is expensive for a small company like mine. You also need to deploy it on a server or cloud, so you pay for the license as well as the cost of the cloud or the server that you will deploy on."
"The product is expensive."
"SAS Visual Analytics is expensive, as is the rest of the platform."
"The product is quite expensive."
"$10,000 per annum for an enterprise license."
report
Use our free recommendation engine to learn which Data Mining solutions are best for your needs.
814,649 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Financial Services Firm
16%
University
10%
Computer Software Company
9%
Manufacturing Company
8%
Financial Services Firm
25%
University
12%
Educational Organization
11%
Insurance Company
7%
Financial Services Firm
20%
Government
13%
Computer Software Company
10%
University
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

What do you like most about IBM SPSS Statistics?
The software offers consistency across multiple research projects helping us with predictive analytics capabilities.
What is your experience regarding pricing and costs for IBM SPSS Statistics?
While the pricing of the product may be higher, the accompanying service and features justify the investment. However...
What needs improvement with IBM SPSS Statistics?
In some cases, the product takes time to load a large dataset. They could improve this particular area.
What do you like most about SAS Enterprise Miner?
I like the way the product visually shows the data pipeline.
What is your experience regarding pricing and costs for SAS Enterprise Miner?
The solution must improve its licensing models. It bundles all the products into smaller products. We can only have a...
What needs improvement with SAS Enterprise Miner?
The product must provide better integration with cloud-native technologies.
What do you like most about SAS Visual Analytics?
The most solution's notable aspect, in my view, is the ability to integrate various data sources and harness advanced...
What is your experience regarding pricing and costs for SAS Visual Analytics?
It's about an average of five. It's easy to scale, but it comes with cost.
What needs improvement with SAS Visual Analytics?
Some capabilities are missing compared to Power BI, especially when working with spreadsheet types. Furthermore, Exce...
 

Also Known As

SPSS Statistics
Enterprise Miner
SAS BI
 

Learn More

Video not available
Video not available
 

Overview

 

Sample Customers

LDB 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-TILDA
Generali Hellas, Gitanjali Group, Gloucestershire Constabulary, GS Home Shopping, HealthPartners, IAG New Zealand, iJET, Invacare
Staples, 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.
Find out what your peers are saying about Knime, Weka, IBM and others in Data Mining. Updated: October 2024.
814,649 professionals have used our research since 2012.