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Minitab Statistical Software vs. SAS Enterprise Miner

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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Minitab

    Score9.1 out of 10
    N/AMinitab Statistical Software can look at current and past data to discover trends, find and predict patterns, uncover hidden relationships between variables, and create visualizations. Key statistical tests available in Minitab include t tests, one and two proportions, normality test, chi-square, and equivalence tests. And its interactive tool with a gallery lets users view and explore multiple graph options without re-running analysis. Using the same selection of data each time, Graph Builder…N/A

    SAS Enterprise Miner

    Score9 out of 10
    N/ASAS 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.N/A
    Pricing
    MinitabSAS Enterprise Miner
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    MinitabSAS Enterprise Miner
    Free Trial
    NoNo
    Free/Freemium Version
    NoNo
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details——
    More Pricing Information
    Features
    MinitabSAS Enterprise Miner
    Platform Connectivity
    Comparison of Platform Connectivity features of Minitab Statistical Software and SAS Enterprise Miner
    Feature
    Minitab Statistical Software
    -
    Ratings
    SAS Enterprise Miner
    8.8
    4 Ratings
    5% above category average
    Connect to Multiple Data Sources00 Ratings8.14 Ratings
    Extend Existing Data Sources00 Ratings9.04 Ratings
    Automatic Data Format Detection00 Ratings9.34 Ratings
    MDM Integration00 Ratings9.02 Ratings
    Data Exploration
    Comparison of Data Exploration features of Minitab Statistical Software and SAS Enterprise Miner
    Feature
    Minitab Statistical Software
    -
    Ratings
    SAS Enterprise Miner
    8.1
    4 Ratings
    3% below category average
    Visualization00 Ratings7.14 Ratings
    Interactive Data Analysis00 Ratings9.14 Ratings
    Data Preparation
    Comparison of Data Preparation features of Minitab Statistical Software and SAS Enterprise Miner
    Feature
    Minitab Statistical Software
    -
    Ratings
    SAS Enterprise Miner
    8.0
    4 Ratings
    3% below category average
    Interactive Data Cleaning and Enrichment00 Ratings7.84 Ratings
    Data Transformations00 Ratings8.24 Ratings
    Data Encryption00 Ratings8.12 Ratings
    Built-in Processors00 Ratings8.12 Ratings
    Platform Data Modeling
    Comparison of Platform Data Modeling features of Minitab Statistical Software and SAS Enterprise Miner
    Feature
    Minitab Statistical Software
    -
    Ratings
    SAS Enterprise Miner
    8.8
    4 Ratings
    4% above category average
    Multiple Model Development Languages and Tools00 Ratings7.54 Ratings
    Automated Machine Learning00 Ratings9.82 Ratings
    Single platform for multiple model development00 Ratings8.54 Ratings
    Self-Service Model Delivery00 Ratings9.23 Ratings
    Model Deployment
    Comparison of Model Deployment features of Minitab Statistical Software and SAS Enterprise Miner
    Feature
    Minitab Statistical Software
    -
    Ratings
    SAS Enterprise Miner
    7.8
    4 Ratings
    9% below category average
    Flexible Model Publishing Options00 Ratings7.04 Ratings
    Security, Governance, and Cost Controls00 Ratings8.54 Ratings
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    MinitabSAS Enterprise Miner
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    Score8 out of 10
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    Score9 out of 10
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    User Ratings
    MinitabSAS Enterprise Miner
    Likelihood to Recommend
    8.7
    (3 ratings)
    9.9
    (4 ratings)
    Usability
    8.2
    (3 ratings)
    -
    (0 ratings)
    Support Rating
    10.0
    (1 ratings)
    10.0
    (2 ratings)
    User Testimonials
    MinitabSAS Enterprise Miner
    Likelihood to Recommend
    Minitab
    Teaching statistics to undergraduate and graduate students non-majors.
    Teaching short courses in statistics for people from industry whose backgrounds are not statistics. They usually are not up to speed on coding and wants something that is easy to learn. Less appropriate for statistics majors or those developing statistical tools in a research environment.
    Incentivized
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    SAS
    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.
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    Pros
    Minitab
    • Life cycle product verification and control
    • Cpk value calculation and control
    • Historical data evaluation and decision making based on that data.
    Incentivized
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    SAS
    • 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.
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    Cons
    Minitab
    • This to be make financially affordable
    • Direct feeding of data provision need to provided
    • It must be update to handle large data.
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    SAS
    • SAS is not as user friendly as other stats software.
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    Usability
    Minitab
    All the users at our site required training to be able to utilize Minitab in the different departments. It would be nice to have a user-friendly/basic user version for those who just need to view charts, data, etc
    Incentivized
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    SAS
    No answers on this topic
    Support Rating
    Minitab
    Whenever I have a technical question, Minitab Statistical Software has been prompt in answering my question and even provided references and examples.
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    SAS
    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.
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    Alternatives Considered
    Minitab
    Minitab Statistical Software is far easiest to use and also has more functionality than the others.
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    SAS
    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.
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    Return on Investment
    Minitab
    • We could control our process and its continuous monitoring that reduce process failure chances.
    • It helpful in database decision making process like rejection or acceptance of batch.
    • Process is improved and productivity increased.
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    SAS
    • 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.
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    ScreenShots