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Users of the software have found it to be versatile and powerful, with a wide range of use cases. From data analysis in academic journals …
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What is SAS Enterprise Miner?
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.
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- Automatic Data Format Detection (5)9.393%
- Extend Existing Data Sources (5)9.090%
- Connect to Multiple Data Sources (5)8.181%
- Visualization (5)7.171%
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What is SAS Enterprise Miner?
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.
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What is SAS Enterprise Miner?
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.
Business users and subject-matter experts with limited statistical skills can generate their own models using SAS Rapid Predictive Modeler. Its GUI steps them through a workflow of data mining tasks. Analytics results are displayed in easy-to-understand charts that provide the needed insights.
Business users and subject-matter experts with limited statistical skills can generate their own models using SAS Rapid Predictive Modeler. Its GUI steps them through a workflow of data mining tasks. Analytics results are displayed in easy-to-understand charts that provide the needed insights.
SAS Enterprise Miner Technical Details
| Operating Systems | Unspecified |
|---|---|
| Mobile Application | No |
Frequently Asked Questions
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.
Reviewers rate Automated Machine Learning highest, with a score of 9.9.
The most common users of SAS Enterprise Miner are from Enterprises (1,001+ employees).
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TrustRadius Insights are summaries of user sentiment data from TrustRadius reviews and, when necessary, 3rd-party data sources. Have feedback on this content? Let us know!
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Users of the software have found it to be versatile and powerful, with a wide range of use cases. From data analysis in academic journals to risk modeling in the banking industry, this software has proven to be a valuable tool for solving various business problems. It has been used by students for lecture assignments and major projects, as well as by professionals in the financial services sector for credit risk models, propensity models, and decision trees for client segmentation.
One notable feature is the software's ability to build complex data mining and statistical models quickly and easily. Users have praised its simplicity in determining important variables for pricing models, making it ideal for researchers and analysts. Additionally, the software allows users to build multiple predictive models and efficiently compare results, helping them make informed decisions and increase their return on investment.
Furthermore, the software's flexibility in model selection and its accuracy in producing forecasts have made it a leading analytics solution in the market. The graphical analysis provided by the software is often considered cleaner compared to other products, enhancing the user experience and facilitating insights. Whether it's analyzing large volumes of claims, performing sentiment analysis, or creating scoring models for prediction, users have found this software to be a reliable and efficient tool for solving statistical problems and extracting valuable insights from data.
Overall, customers recommend this software for its performance across various industries and business functions. It has proven to be an indispensable tool in improving decision-making processes, enhancing internal efficiencies, and gaining valuable insights from data analysis.
Easy to Use and Accurate: Users found SAS Enterprise Miner easy to use and accurate, with the ability to handle multiple data sources effectively. Several reviewers mentioned this as a positive aspect of the software.
Wide Range of Algorithm Choices: Users appreciated the wide range of algorithm choices available in SAS Enterprise Miner. They mentioned that it includes various options for data mining tasks such as random, neural networks, support vectors, ensemble modeling, and more. This was stated by many users.
Top-Class Customer Support: Users praised the customer support provided by SAS for Enterprise Miner. They mentioned that it is top class and helpful when they encountered any issues or had questions about using the software. A significant number of reviewers highlighted this aspect.
Difficult to Learn: Several users have found the software difficult to learn, requiring hours of effort and training. They mentioned that it is not easy to grasp the nuances of each model, especially for someone with a stats background.
Outdated Interface: Many users expressed their dissatisfaction with the software's interface, describing it as old-school and not updated with trendy methods. They felt that the dashboard and interface were outdated, clunky, and not user-friendly.
Expensive and Difficult to Obtain: Users mentioned that the software is expensive and can be challenging to obtain, particularly for students or small businesses. Some reviewers also pointed out that it takes time to gain access to SAS tools and is costly compared to other data analysis software on the market.
Users have made several recommendations based on their experiences with SAS Enterprise Miner. First, it is recommended to request a demo session and prepare specific questions to address business problems before making a decision. This allows users to fully evaluate the software's capabilities and determine if it aligns with their needs. Second, users suggest trying both R and SAS Enterprise Miner free trials to determine which software is better suited for their data needs. This allows for a comparison of the features and functionalities offered by each option. Lastly, incorporating open source languages within SAS Enterprise Miner is advised. This recommendation aims to enhance the software's flexibility and expand its capabilities by leveraging additional tools and resources.
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Reviews
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Enterprise Miner is being used mostly in the Risk department and marketing department. For Marketing, it is used to develop different marketing decision making algorithms (mostly cross-sell, upsell, churn and acquisition models). These tasks help answer the following questions:
- What are my customers next best action (what product would they consider)
- Who is more likely to leave for a competitor
- Who is more likely to increase their volume of savings and by how much.
- How much money can I safely lend customers based on several metrics such as credit score rating, assets, ... (credit scorecards)
- In case of recessions or the collapse of a specific industry, what is the change of global exposure at default based on the change in risk (IFRS9 stresstesting)
- What is the risk of customers with overdue payment to never pay what they owe (Bad debt)
- Is a customer doing money laundering or terrorist financing (Anti-money laundering)
- 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.
- One of the major flaws is that the tool is basically an interface to SAS/STAT code. It generates code in the background and runs it. Because of that, some errors are warning might be a little difficult to understand for users who aren't proficient with SAS code.
- R integration is nice but I would like to see the possibility to integrate even more statistical models different than SAS. That would allow for better performance optimization when really required.
- The light client is java based and a little heavy on the OS. It would be nice to get a web-based version of the tool instead of the java one.
65%
6.5
70%
7.0
35%
3.5
27.5%
2.8
40%
4.0
- 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.
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 SAS are really well integrated and I don't feel it was the case with SPSS (or at least from what I've heard).
It allowed users to easily prepare their data with SAS/Enterprise Guide and then use it with Enterprise Miner. The data preparation tools of SAS are really well integrated and I don't feel it was the case with SPSS (or at least from what I've heard).
30
Data scientists and some senior BI analysts that have some statistical knowledge and understanding.
4
The support for Enterprise Miner is mostly a technical support. Software support is covered by co-workers and online queries.
For the technical support, it doesn't really require an additional person to cover that. In our case, the SAS admins support all SAS softwares and Miner is just one of them.
For the technical support, it doesn't really require an additional person to cover that. In our case, the SAS admins support all SAS softwares and Miner is just one of them.