SAS Enterprise Miner is a data science and statistical modeling solution enabling the creation of predictive and descriptive models on very large data sources across the organization.
Economist in Information Technology at Econometric Studios (Financial Services, 11-50 employees)
Chose SAS Enterprise Miner
For those that are used to the SAS ecosystem, SAS Enterprise Miner is a massive move in the right direction. It makes doing analytics much more enjoyable. It is more user-friendly than Spotfire or Kinesis and seems to produce better results overall. SAS Enterprise Miner …
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Associate Director in Corporate at Stan Richards School of Advertising & Public Relations (Education Management, 5001-10,000 employees)
Chose SAS Enterprise Miner
I like the algorithms SAS uses better than SPSS. I have been writing SAS code since the mid 1980s and trust their development team. Also offer great refresher class to academics.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Solution Specialist (Data Analytics) in Information Technology at Revival Europe Ltd. (Computer Software, 51-200 employees)
Chose SAS Enterprise Miner
SAS EM has a very great set of machine learning and predictive analytics toolsets, which helped our organization achieve its goals. We used other tools, but for us, SAS EM was the most intuitive and easy to learn the tool and it provides greater data exploration and data …
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Verified User
Chose SAS Enterprise Miner
SPSS was used for model development before SAS in my organization. SAS brought a bigger more complete integrated solution than SPSS had. It allowed users to easily prepare their data with SAS/Enterprise Guide and then use it with Enterprise Miner. The data preparation tools of …
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Key User Insights
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Delivers good value for the price
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Happy with the feature set
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Lived up to sales and marketing promises
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Implementation went as expected
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Features
SAS Enterprise Miner
Platform Connectivity
Comparison of Platform Connectivity features of SAS Enterprise Miner
Feature
SAS Enterprise Miner
8.8
4 Ratings
5% above category average
Connect to Multiple Data Sources
8.14 Ratings
Extend Existing Data Sources
9.04 Ratings
Automatic Data Format Detection
9.34 Ratings
MDM Integration
9.02 Ratings
Data Exploration
Comparison of Data Exploration features of SAS Enterprise Miner
Feature
SAS Enterprise Miner
8.1
4 Ratings
3% below category average
Visualization
7.14 Ratings
Interactive Data Analysis
9.14 Ratings
Data Preparation
Comparison of Data Preparation features of SAS Enterprise Miner
Feature
SAS Enterprise Miner
8.0
4 Ratings
2% below category average
Interactive Data Cleaning and Enrichment
7.84 Ratings
Data Transformations
8.24 Ratings
Data Encryption
8.12 Ratings
Built-in Processors
8.12 Ratings
Platform Data Modeling
Comparison of Platform Data Modeling features of SAS Enterprise Miner
Feature
SAS Enterprise Miner
8.8
4 Ratings
5% above category average
Multiple Model Development Languages and Tools
7.54 Ratings
Automated Machine Learning
9.82 Ratings
Single platform for multiple model development
8.54 Ratings
Self-Service Model Delivery
9.23 Ratings
Model Deployment
Comparison of Model Deployment features of SAS Enterprise Miner
SAS Enterprise Miner is world-class software for individuals interested in developing reproducible models in a reasonable amount of time. Perhaps the most useful part of SAS Enterprise Miner is the ability to compare models with other models without writing code. The ensemble modeling capabilities is the easiest way to do ensemble modeling I have come across. SAS Enterprise Miner is well-suited for beginning to advanced analysts who know something about advanced analytics. The software is not well-suited for analysts or companies that have little interest in advanced modeling.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Enterprise Miner is really visual and lets you do a whole lot without actually going into the detailed options. For decent results, you should really explore the different advanced options though.
The recent versions of Miner allow users to use R code in Miner. You can then compare several models and approach to get the best performing model.
The resulting data is really well displayed and easy to understand (ex: the lift graph, score ranking, etc.)
Miner has the ability to integrate custom SAS code which allows the user to add functionalities that are specific to the project.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
SAS' customer support used to be non-existent many years ago. Today, contacting SAS customer support is great. They are responsible, knowledgable, and seem to have an interest in getting the results right the first time. With that said, Enterprise Miner's online support is weak, probably because the user base is much smaller than other tools.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
SAS EM has a very great set of machine learning and predictive analytics toolsets, which helped our organization achieve its goals. We used other tools, but for us, SAS EM was the most intuitive and easy to learn the tool and it provides greater data exploration and data preparation capabilities compared to the other tools we used.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
In our organization, users were using SAS already so the learning curve was really low. Within a few weeks after the implementation, the users were already delivering models developed with SAS Enterprise Miner. It is difficult to talk about ROI as models were already being developed before. It was mostly a change of technology and it was a smooth transition.
Going with Enterprise Miner came with migration from desktop use of SAS to a server use of SAS. This created a new role of SAS administrator. This was obviously a cost but as the use of SAS increased greatly, it was expected.
From a methodology standpoint, Enterprise Miner helped greatly in the documentation of the model development which was a requirement in a few groups such as the risk groups. Having a visual "GUI-like" approach to development, the flowchart or diagram of the project in Miner was able to give users a good understanding of the approach the analyst took to develop the model.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
