SAS Enterprise Miner vs SAS Visual Analytics comparison

The compared SAS Enterprise Miner and SAS Visual Analytics solutions aren't in the same category. SAS Enterprise Miner is ranked #7 in DM , with an average rating of 8.5, and holds a 4.2% mindshare in the category. SAS Visual Analytics is ranked #9 in DV , with an average rating of 8.5, and holds a 5.1% mindshare. Additionally, 93% of SAS Enterprise Miner users are willing to recommend the solution, compared to 96% of SAS Visual Analytics users who would recommend it.

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between SAS Enterprise Miner and SAS Visual Analytics based on real PeerSpot user reviews.

Find out what your peers are saying about Knime, Weka, IBM and others in Data Mining.

To learn more, read our detailed Data Mining Report (Updated: November 2024).

Buyer's Guide

Data Mining

November 2024

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Categories and Ranking

IBM SPSS Statistics

Mindshare comparison

Data Mining

Data Visualization

Featured Reviews

Md Masudul Hassan

Agricultural Finance and IT Researcher at Sher-e-Bangla Agricultural University

Comprehensive data analysis capabilities with a user-friendly interface, providing an efficient and reliable platform for researchers and analysts

I believe that offering short-term SPSS licenses, perhaps when customer sourcing is available, could make it more affordable. These licenses shouldn't include features tailored for universities or large sales organizations. Instead, they could offer discounts or additional facilities for smaller entities to access the software. In developing countries, it would be beneficial to provide certain features to users at no cost initially, while also customizing pricing options. For example, offering basic features to the first hundred users can help them become familiar with the software and its capabilities. This approach encourages users to upgrade to higher tiers as they become more experienced and require additional functionality.

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Shilpa Prakash

Analytics Lead at Pegasus

Good stability, very good data analysis tool pack and excellent documentation

The solution should be faster. Virtualization could be much better. The solution could add some freeware. The text analytics, for example, aren't there in the VSL version. It requires a separate license. It should be included in the main solution's license as it's a basic requirement. It's shouldn't cost extra.

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Robert Heck

Co Owner at Hecht und Heck GmbH

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.

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Quotes from Members

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

Pros

"Most of the product features are good but I particularly like the linear regression analysis."

"I've found the descriptive statistics and cross-tabs valuable. The very simple correlations and regressions are as well."

"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 SPSS interface is very accessible and user-friendly. It's really easy to get information in it. I've shared it with experts and beginners, and everyone can navigate it."

"The most valuable features mainly include factor analysis, correlation analysis, and geographic analysis."

"The features that I have found most valuable are the Bayesian statistics and descriptive statistics."

"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."

"The most valuable feature of IBM SPSS Statistics is all the functionality it provides. Additionally, it is simple to do the five-way analysis that you can into multidimensional setup space. It's the multidimensional space facility that is most useful."

More IBM SPSS Statistics pros

"The solution is able to handle quite large amounts of data beautifully."

"Good data management and analytics."

"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."

"The most valuable feature is the decision tree creation."

"he solution is scalable."

"The technical support is very good."

"I like the way the product visually shows the data pipeline."

More SAS Enterprise Miner pros

"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."

"Great for handling complex data models."

"Data handling is one of the best features of SAS Visual Analytics."

"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."

"It is a very stable solution."

"It's relatively simple to create basic dashboards and reports."

"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."

"We've found the product to be stable and reliable."

More SAS Visual Analytics pros

Cons

"Technical support needs some improvement, as they do not respond as quickly as we would like."

"The product should provide more ways to import data and export results that are user-friendly for high-level executives."

"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."

"The solution could improve by providing a visual network for predictions and a self-organizing map for clustering."

"Needs more statistical modelling functions."

"I'd like to see them use more artificial intelligence. It should be smart enough to do predictions and everything based on what you input."

"IBM SPSS Statistics could improve the visual outputs where you are producing, for example, a graph for a company board of directors, or an advert."

"IBM SPSS Statistics does not keep you close to your data like KNIME."

More IBM SPSS Statistics cons

"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 ease of use can be improved. When you are new it seems a bit complex."

"The product must provide better integration with cloud-native technologies."

"Technical support could be improved."

"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 initial setup is challenging if doing it for the first time."

More SAS Enterprise Miner cons

"The solution should improve its graphics."

"Better connectivity with other data origins, better visualization, and the ability to create KPIs directly would all help."

"SAS Visual Analytics could be more user-friendly."

"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."

"The reason we haven't rolled it out across the board is due to the fact that the licensing is so expensive."

"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 improve by making it more accessible for users outside the organization."

"A bit more flexibility in the temperatization will be helpful."

More SAS Visual Analytics cons

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."

"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."

"It's quite expensive, but they do a special deal for universities."

"The pricing of the modeler is high and can reduce the utility of the product for those who can not afford to adopt it."

"I rate the tool's pricing a five out of ten."

"The price of this solution is a little bit high, which was a problem for my company."

"While the pricing of the product may be higher, the accompanying service and features justify the investment."

More IBM SPSS Statistics pricing and cost advice

"This solution is for large corporations because not everybody can afford it."

"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."

"The solution must improve its licensing models."

"SAS Visual Analytics is expensive, as is the rest of the platform."

"The product is expensive."

"The cost of the solution can be expensive. There is an additional cost for users."

"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."

"I work with the tool's free version...The tool's corporate version is very expensive and requires a monthly hire."

"$10,000 per annum for an enterprise license."

"Licensing is simple."

"The product is quite expensive."

More SAS Visual Analytics pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

17%

Computer Software Company

University

Manufacturing Company

Financial Services Firm

25%

University

13%

Educational Organization

Insurance Company

Financial Services Firm

20%

Government

13%

Computer Software Company

10%

University

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.

See all answers

What is your experience regarding pricing and costs for IBM SPSS Statistics?

The cost of IBM SPSS Statistics is managed by organizations, not individual researchers. It is a very expensive produ...

See all answers

What needs improvement with IBM SPSS Statistics?

IBM SPSS Statistics does not keep you close to your data like KNIME. In KNIME, at every stage, you can see the result...

See all answers

What do you like most about SAS Enterprise Miner?

I like the way the product visually shows the data pipeline.

See all answers

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...

See all answers

What needs improvement with SAS Enterprise Miner?

The product must provide better integration with cloud-native technologies.

See all answers

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...

See all answers

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.

See all answers

What needs improvement with SAS Visual Analytics?

Some capabilities are missing compared to Power BI, especially when working with spreadsheet types. Furthermore, Exce...

See all answers

Comparisons

IBM SPSS Modeler vs IBM SPSS Statistics

Compared 16% of the time

Alteryx vs IBM SPSS Statistics

Compared 13% of the time

TIBCO Statistica vs IBM SPSS Statistics

Compared 13% of the time

Microsoft Azure Machine Learning Studio vs IBM SPSS Statistics

Compared 11% of the time

Weka vs IBM SPSS Statistics

Compared 10% of the time

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IBM SPSS Modeler vs SAS Enterprise Miner

Compared 23% of the time

KNIME vs SAS Enterprise Miner

Compared 15% of the time

RapidMiner vs SAS Enterprise Miner

Compared 13% of the time

Microsoft Azure Machine Learning Studio vs SAS Enterprise Miner

Compared 11% of the time

More SAS Enterprise Miner Competitors

Tableau vs SAS Visual Analytics

Compared 25% of the time

Microsoft Power BI vs SAS Visual Analytics

Compared 21% of the time

Databricks vs SAS Visual Analytics

Compared 13% of the time

Dataiku vs SAS Visual Analytics

Compared 5% of the time

Amazon SageMaker vs SAS Visual Analytics

Compared 3% of the time

More SAS Visual Analytics Competitors

Product Reports

Buyer's Guide

IBM SPSS Statistics

December 2024

Download IBM SPSS Statistics product report

Buyer's Guide

Data Mining

November 2024

Download SAS Enterprise Miner product report

Buyer's Guide

SAS Visual Analytics

November 2024

Download SAS Visual Analytics product report

Also Known As

SPSS Statistics

Enterprise Miner

SAS BI

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SAS

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SAS

Overview

IBM SPSS Statistics is a powerful data mining solution that is designed to aid business leaders in making important business decisions. It is designed so that it can be effectively utilized by organizations across a wide range of fields. SPSS Statistics allows users to leverage machine learning algorithms so that they can mine and analyze data in the most effective way possible.

IBM SPSS Statistics Benefits

Some of the ways that organizations can benefit by choosing to deploy IBM SPSS Statistics include:

Ease of use. SPSS Statistics enables users to simply and intuitively take control of their statistical needs. The solution is designed so that analysts who do not know how to code can easily make full use of the various tools and capabilities that SPSS Statistics has to offer. Its command language is so straightforward that it does not require users to undergo special training before they use it.

Comprehensive and flexible build. SPSS Statistics is designed to be both a comprehensive and highly flexible analytics solution. It enables users to utilize a variety of integrations that make it easy for users to add features that they might feel they are missing.

Automation. SPSS Statistics makes it simple for users to automate basic tasks that they might otherwise devote too much time worrying about. Tasks like calculation or data gathering can be delegated to the system while more conceptual tasks like data analysis are given to an organization’s analysts to handle.

IBM SPSS Statistics Features

Intuitive user interface. SPSS Statistics enables users to deploy an intuitive interface that makes the process of system management simple. Among the other components of this interface is a drag-and-drop feature that makes analysis and management possible for anyone who wants to use it.

Advanced data visualizations. Analysts that employ SPSS Statistics gain access to tools that empower them to create and export data visualizations. These visualizations can be formatted in many different ways depending on what the user needs.

Local data storage. SPSS Statistics has the ability to securely store data on a user’s computer. This enables them to add layers of security that would not necessarily be present if the data was stored in the cloud.

Reviews from Real Users

IBM SPSS Statistics is a highly effective solution that stands out when compared to many of its competitors. Two major advantages it offers are the wealth of functionalities that it provides and its high level of accessibility.

An Emeritus Professor of Health Services Research at a university writes, "The most valuable feature of IBM SPSS Statistics is all the functionality it provides. Additionally, it is simple to do the five-way analysis that you can in a multidimensional setup space. It's the multidimensional space facility that is most useful."

A Director of Systems Management & MIS Operations at a university, says, “The SPSS interface is very accessible and user-friendly. It's really easy to get information from it. I've shared it with experts and beginners, and everyone can navigate it.”

SAS Enterprise Miner is a solution to create accurate predictive and descriptive models on large volumes of data across different sources in the organization. SAS Enterprise Miner offers many features and functionalities for the business analysts to model their data. Some of the business applications are for detecting fraud, minimizing risk, resource demands, reducing asset downtime, campaigns and reduce customer attrition.

SAS Visual Analytics is a data visualization tool that is used for reporting, data exploration, and analytics. The solution enables users - even those without advanced analytical skills - to understand and examine patterns, trends, and relationships in data. SAS Visual Analytics makes it easy to create and share reports and dashboards that monitor business performance. By using the solution, users can handle, understand, and analyze their data in both past and present fields, as well as influence vital factors for future changes. SAS Visual Analytics is most suitable for larger companies with complex needs.

SAS Visual Analytics Features

SAS Visual Analytics has many valuable key features. Some of the most useful ones include:

Data
Interactive data discovery
Augmented analytics
Chat-enabled analytics
Sharing and collaboration
Visual analytics apps
Embedded insights
Location analytics
Security and administration
In-memory engine

SAS Visual Analytics Benefits

There are many benefits to implementing SAS Visual Analytics. Some of the biggest advantages the solution offers include:

Machine learning and natural language: SAS Visual Analytics uses machine learning and natural language explanations to find, visualize, and narrate stories and insights that are easy to understand and explain. This enables you to find out why something happened, examine all options, and uncover opportunities hidden deep in your data.

Easy and efficient reporting: With SAS Visual Analytics, you can create interactive reports and dashboards so you can quickly summarize key performance metrics and share them via the web and mobile devices.

Easy to use: SAS Visual Analytics was designed to be easy to use. Its easy-to-use predictive analytics enables even business analysts to assess possible outcomes, which also helps organizations make smarter, data-driven decisions.

Self-service data: Self-service data preparation gives users the ability to import their own data, join tables, create calculated columns, apply data quality functions, and more. In turn, the solution empowers users to access, combine, clean, and prepare their own data in an agile way, which helps facilitate faster, broader adoption of analytics for your entire organization.

Reviews from Real Users

Below are some reviews and helpful feedback written by PeerSpot users currently using the SAS Visual Analytics solution.

A Senior Manager at a consultancy says, “The solution is very stable. The scalability is good. The usability is quite good. It's quite easy to learn and to progress with SAS from an end-user perspective.

PeerSpot user Robert H., Co-owner at Hecht und Heck GmbH, comments, “What I really love about the software is that I have never struggled in implementing it for complex business requirements. It is good for highly sophisticated and specialized statistics in the areas that some people tend to call artificial intelligence. It is used for everything that involves visual presentation and analysis of highly sophisticated statistics for forecasting and other purposes.

Andrea D., Chief Technical Officer at Value Partners, explains, “The best feature is that SAS is not a single BI tool. Rather, it is part of an ecosystem of tools, such as tools that help a user to develop artificial intelligence, algorithms, and so on. SAS is an ecosystem. It's an ecosystem of products. We've found the product to be stable and reliable. The scalability is good.”

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: November 2024.

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