Compare SAP Predictive Analytics vs. SAS Enterprise Miner

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Most Helpful Review
Find out what your peers are saying about SAP Predictive Analytics vs. SAS Enterprise Miner and other solutions. Updated: September 2020.
442,517 professionals have used our research since 2012.
Quotes From Members

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

Pros
"The most valuable features are the analytics and reporting.""I think the features of the actual ability to forecast and pull trends and correlations has been really good."

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"The setup is straightforward. Deployment doesn't take more than 30 minutes.""The solution is very good for data mining or any mining issues.""he solution is scalable.""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.""The most valuable feature is the decision tree creation.""The most valuable feature is that you can use multiple algorithms for creating models and then you can compare the results between them.""Good data management and analytics.""The solution is able to handle quite large amounts of data beautifully."

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Cons
"This solution works for acquired data but not live, real-time data."

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"The user interface of the solution needs improvement. It needs to be more visual.""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.""The solution needs an easier interface for the user. The user experience isn't so easy for our clients.""Virtualization could be much better.""The ease of use can be improved. When you are new it seems a bit complex.""The visualization of the models is not very attractive, so the graphics should be improved.""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."

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Pricing and Cost Advice
"A free trial version is available for testing out this solution.""The pricing is reasonable"

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

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Questions from the Community
Top Answer: I think the features of the actual ability to forecast and pull trends and correlations has been really good.
Top Answer: I am not sure what the exact costs are, but I believe it is reasonable.
Top Answer: We've looked at the ability of customer churn, propensity to develop customers and ideas of what makes the ideal customer. We are reaching out to try and predict from a database of what customers… more »
Top Answer: The most valuable feature is that you can use multiple algorithms for creating models and then you can compare the results between them.
Top Answer: The license is really expensive. This solution is for large corporations because not everybody can afford it. It is a little bit tricky because you have to buy a license for each and every component… more »
Top Answer: The visualization of the models is not very attractive, so the graphics should be improved. I would like to see the user interface improved a bit.
Ranking
17th
Views
843
Comparisons
574
Reviews
2
Average Words per Review
515
Avg. Rating
8.5
10th
Views
3,941
Comparisons
2,986
Reviews
8
Average Words per Review
389
Avg. Rating
7.8
Popular Comparisons
Compared 10% of the time.
Compared 11% of the time.
Also Known As
SAP BusinessObjects Predictive Analytics, BusinessObjects Predictive Analytics, BOPAEnterprise Miner
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SAP
SAS
Overview

SAP® Predictive Analytics software brings predictive insight to business users, analysts, data scientists, and developers in your company. Unlock the potential of Big Data from virtually any source with the power of predictive automation. By automating the building and management of sophisticated predictive models to deliver insight in real time, this software makes it easier to make better, more profitable decisions across the enterprise.

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.
Offer
Learn more about SAP Predictive Analytics
Learn more about SAS Enterprise Miner
Sample Customers
mBankGenerali Hellas, Gitanjali Group, Gloucestershire Constabulary, GS Home Shopping, HealthPartners, IAG New Zealand, iJET, Invacare
Top Industries
No Data Available
VISITORS READING REVIEWS
Computer Software Company34%
Media Company9%
Insurance Company8%
Financial Services Firm7%
Company Size
No Data Available
REVIEWERS
Small Business20%
Midsize Enterprise40%
Large Enterprise40%
Find out what your peers are saying about SAP Predictive Analytics vs. SAS Enterprise Miner and other solutions. Updated: September 2020.
442,517 professionals have used our research since 2012.
SAP Predictive Analytics is ranked 17th in Data Science Platforms with 2 reviews while SAS Enterprise Miner is ranked 10th in Data Science Platforms with 8 reviews. SAP Predictive Analytics is rated 8.6, while SAS Enterprise Miner is rated 7.8. The top reviewer of SAP Predictive Analytics writes "Enables us to forecast and pull trends and has an easy installation ". On the other hand, the top reviewer of SAS Enterprise Miner writes "Good GUI, an easy initial setup, and very flexible". SAP Predictive Analytics is most compared with Microsoft Azure Machine Learning Studio, IBM SPSS Statistics, Amazon SageMaker, KNIME and IBM SPSS Modeler, whereas SAS Enterprise Miner is most compared with IBM SPSS Modeler, RapidMiner, SAS Visual Analytics, Amazon SageMaker and Dataiku Data Science Studio. See our SAP Predictive Analytics vs. SAS Enterprise Miner report.

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