SAS Enterprise Miner vs. TIMi

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
SAS Enterprise Miner
Score 9.0 out of 10
N/A
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.N/A
TIMi
Score 0.0 out of 10
N/A
TIMi, headdquartered in Brussels, offers their eponymous framework to push the barriers of analytics, predictive analytics and Big Data, while offering an environment to develop new ideas and make business decisions.N/A
Pricing
SAS Enterprise MinerTIMi
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
SAS Enterprise MinerTIMi
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
Community Pulse
SAS Enterprise MinerTIMi
Features
SAS Enterprise MinerTIMi
Platform Connectivity
Comparison of Platform Connectivity features of Product A and Product B
SAS Enterprise Miner
8.8
4 Ratings
5% above category average
TIMi
-
Ratings
Connect to Multiple Data Sources8.14 Ratings00 Ratings
Extend Existing Data Sources9.04 Ratings00 Ratings
Automatic Data Format Detection9.34 Ratings00 Ratings
MDM Integration9.02 Ratings00 Ratings
Data Exploration
Comparison of Data Exploration features of Product A and Product B
SAS Enterprise Miner
8.1
4 Ratings
4% below category average
TIMi
-
Ratings
Visualization7.14 Ratings00 Ratings
Interactive Data Analysis9.14 Ratings00 Ratings
Data Preparation
Comparison of Data Preparation features of Product A and Product B
SAS Enterprise Miner
8.0
4 Ratings
2% below category average
TIMi
-
Ratings
Interactive Data Cleaning and Enrichment7.84 Ratings00 Ratings
Data Transformations8.24 Ratings00 Ratings
Data Encryption8.12 Ratings00 Ratings
Built-in Processors8.12 Ratings00 Ratings
Platform Data Modeling
Comparison of Platform Data Modeling features of Product A and Product B
SAS Enterprise Miner
8.8
4 Ratings
5% above category average
TIMi
-
Ratings
Multiple Model Development Languages and Tools7.54 Ratings00 Ratings
Automated Machine Learning9.82 Ratings00 Ratings
Single platform for multiple model development8.54 Ratings00 Ratings
Self-Service Model Delivery9.23 Ratings00 Ratings
Model Deployment
Comparison of Model Deployment features of Product A and Product B
SAS Enterprise Miner
7.8
4 Ratings
8% below category average
TIMi
-
Ratings
Flexible Model Publishing Options7.04 Ratings00 Ratings
Security, Governance, and Cost Controls8.54 Ratings00 Ratings
Best Alternatives
SAS Enterprise MinerTIMi
Small Businesses
Jupyter Notebook
Jupyter Notebook
Score 8.6 out of 10
Jupyter Notebook
Jupyter Notebook
Score 8.6 out of 10
Medium-sized Companies
Posit
Posit
Score 10.0 out of 10
Posit
Posit
Score 10.0 out of 10
Enterprises
Posit
Posit
Score 10.0 out of 10
Posit
Posit
Score 10.0 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
SAS Enterprise MinerTIMi
Likelihood to Recommend
9.9
(4 ratings)
-
(0 ratings)
Support Rating
10.0
(2 ratings)
-
(0 ratings)
User Testimonials
SAS Enterprise MinerTIMi
Likelihood to Recommend
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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TIMi
No answers on this topic
Pros
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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TIMi
No answers on this topic
Cons
SAS
  • SAS is not as user friendly as other stats software.
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TIMi
No answers on this topic
Support Rating
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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TIMi
No answers on this topic
Alternatives Considered
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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TIMi
No answers on this topic
Return on Investment
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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TIMi
No answers on this topic
ScreenShots