TrustRadius: an HG Insights company

SAS Enterprise Miner

Score9 out of 10

8 Reviews and Ratings

Get a Demo

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.

Categories & Use Cases

Key Features

Learn about the best (and worst!) features SAS Enterprise Miner has to offer, as determined by TrustRadius' reviewers.
Based on 8 ratings of SAS Enterprise Miner's features
View all features

Top Performing Features

  • Automated Machine Learning

    Tools to help automate algorithm development

    Category average: 8.9

  • Automatic Data Format Detection

    Automatic detection of data formats and schemas

    Category average: 9.2

  • Self-Service Model Delivery

    Multiple model delivery modes to comply with existing workflows

    Category average: 8.3

Areas for Improvement

  • Multiple Model Development Languages and Tools

    Access to multiple popular languages, tools, and packages such as R, Python, SAS, Jupyter, RStudio, etc.

    Category average: 9.2

  • Visualization

    The product’s support and tooling for analysis and visualization of data.

    Category average: 8.3

  • Flexible Model Publishing Options

    Publish models as REST APIs, hosted interactive web apps or as scheduled jobs for generating reports or running ETL tasks.

    Category average: 9.2

Reviews

What users are saying about SAS Enterprise Miner.
View all reviews

SAS Enterprise Miner is my favorite modeling software. Does the job well.

Incentivized
Thomas Young
Economist in Information Technology at Econometric Studios (11-50 employees employees)

Pros

  • Developing and evaluating ensemble models.
  • A very transparent interface.

Cons

  • SAS Enterprise Miner is far from the fastest software out there
  • Integrating SAS Enterprise Miner with other software tools is not easy.

Return on Investment

  • SAS Enterprise Miner is a positive ROI in the sense that it saves a ton of time coding.
  • SAS Enterprise Miner is a negative ROI in that it's expensive, and perhaps makes analysts brainless.

Alternatives Considered

TIBCO Spotfire, SAS Advanced Analytics and Amazon Kinesis Analytics

Other Software Used

TIBCO Spotfire, Amazon Elastic MapReduce, QlikView, Tableau Desktop, Mitel MiCollab, Microsoft Azure

I can't live without SAS Enterprise Miner! A+++++

Incentivized
Gary WilcoxView profile
Associate Director in Corporate at Stan Richards School of Advertising & Public Relations (5001-10,000 employees employees)

Pros

  • Enterprise Miner has many different data analysis options.
  • It is easy to use and very reliable.
  • The algorithms behind this statistical software are world class.

Cons

  • SAS is not as user friendly as other stats software.

Return on Investment

  • It has made me a more productive scholar enabling me to interact with a wider range of academic disciplines.
  • SAS is always well respected in the journal I publish in.
  • It is very reasonable to get a yearly license through the university where I work.
  • PITA to re-install.

Alternatives Considered

IBM SPSS

Other Software Used

NUVI

A great and excellent tool for complex data modelling and machine learning

Incentivized
Akos Krommer, CISA, ACDAView profile
Solution Specialist (Data Analytics) in Information Technology at Revival Europe Ltd. (51-200 employees employees)

Pros

  • Very easy to use and intuitive.
  • High performance.
  • Open source integration with R.
  • Amazing data science models.
  • Very good data preparation and exploration toolkit.

Cons

  • Still the same, very old and clunky GUI.
  • For smaller organizations, it can be quite pricey.
  • For less experienced users, the software can be a little overwhelming.

Return on Investment

  • It has a positive ROI to our business, as our sales lead rate increased after we started recommending SAS EM.
  • Our business operation numbers improved after we introduced SAS EM and started using predictive analytics for our customer retention and customer chain prediction.
  • The statistical modelling for the risk controls in our financial department helped to reduce the related residual risk.

Alternatives Considered

IBM SPSS Modeler and RapidMiner Studio

Other Software Used

RapidMiner Studio, IBM SPSS Modeler, Tableau Desktop

SAS Enterprise Miner brings your "SAS shop" to the next level with customer insight

Incentivized
Verified User
Consultant in Information Technology (10,001+ employees employees)

Pros

  • 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.

Cons

  • 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.

Return on Investment

  • 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.

Alternatives Considered

IBM SPSS

Other Software Used

Skype for Business (formerly Lync), Microsoft Visio, BeyondCompare, Snagit, Microsoft Power BI, Tableau Desktop, Tableau Server