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4.7 out of 5
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SAS Visual Data Mining and Machine Learning
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SAS Visual Data Mining and Machine Learning
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91 SAS Visual Data Mining and Machine Learning Reviews
4.6 out of 5
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UI
Verified User in Insurance
Enterprise(> 1000 emp.)
Products used within SAS Visual Machine Learning: SAS Model Manager, SAS Visual Data Mining and Machine Learning
What do you like best about SAS Visual Machine Learning?
Visual modeling without code: The user interface allows the creation of machine learning models via drag and drop. This is particularly useful for analysts who are not necessarily programmers but still want to create complex models.
AutoML functionality: SAS VML can automatically create multiple models, compare them, and suggest the best model - including transparency in evaluation and selection. Review collected by and hosted on G2.com.
What do you dislike about SAS Visual Machine Learning?
Since VML is designed for no-code usage, the integration of user code, especially in non-native platform languages, is not particularly well supported (e.g., no syntax highlighting in the code editor). Review collected by and hosted on G2.com.
JA
JOSE A.
Mid-Market(51-1000 emp.)
What do you like best about SAS Visual Data Mining and Machine Learning?
It's great to be able to build machine learning models in the same environment where dashboards are created. Review collected by and hosted on G2.com.
What do you dislike about SAS Visual Data Mining and Machine Learning?
Models created in this environment cannot have the same complexity as models created in Model Studio. Review collected by and hosted on G2.com.
DM
Darie M.
Assistant professor of analytics
Mid-Market(51-1000 emp.)
Products used within SAS Visual Machine Learning: SAS Visual Data Mining and Machine Learning, SAS Visual Statistics, SAS Visual Analytics
What do you like best about SAS Visual Machine Learning?
SAS Visual Machine Learning lets you easily build your ML models, various algorithms being available to deploy. You can build a new model by just copying the existing model and changing the algorithm as needed. Review collected by and hosted on G2.com.
What do you dislike about SAS Visual Machine Learning?
The entire workflow is not as intuitive as it was in SAS Enterprise Miner. Review collected by and hosted on G2.com.
UC
Verified User in Computer Hardware
Mid-Market(51-1000 emp.)
Products used within SAS Viya Platform: SAS Visual Data Mining and Machine Learning, SAS Data Preparation, SAS Viya
What do you like best about SAS Viya Platform?
Real-time data access, advanced programming features, easy to use or for beginners Review collected by and hosted on G2.com.
What do you dislike about SAS Viya Platform?
Lack of user adaptation, High cost, Not easy to implement. Review collected by and hosted on G2.com.
UD
Udbhasan D.
Enterprise(> 1000 emp.)
Products used within SAS Advanced Analytics: SAS Enterprise Miner, SAS Visual Data Mining and Machine Learning, SAS Visual Statistics, SAS/STAT, SAS Visual Text Analytics, SAS Visual Analytics
What do you like best about SAS Advanced Analytics?
1. Easy data mining and data preparation
2. Ease of use in terms of statistical analysis and understanding behavioral patterns
3. integration of legacy SQL helps experienced individuals to come to the platform and use it Review collected by and hosted on G2.com.
What do you dislike about SAS Advanced Analytics?
More focus on low code no code approach, to encourage pure business users to start using the platform Review collected by and hosted on G2.com.
VA
Vishal R A.
Data Engineer - AdTech
Mid-Market(51-1000 emp.)
Products used within SAS Visual Data Science Decisioning: SAS Visual Data Mining and Machine Learning, SAS/QC
What do you like best about SAS Visual Data Science Decisioning?
SAS Visual Data Science Decisioning is one of the best integrated Environment for data preparation, exploration, modeling, and deployment. Its inbuilt machine learning features helped us in implementing data science project very faster.
It has helped us in making machine learning or predictive modelling for predicting the response rate for our marketing analytics project by analysing the bureau data. It is easy to use as well once one gets usual with the environment. Review collected by and hosted on G2.com.
What do you dislike about SAS Visual Data Science Decisioning?
There is nothing dislike about SAS Visual Data Science Decisioning but SAS can make the licence of this tool at lower cost. Review collected by and hosted on G2.com.
AG
Akanksha G.
Senior Test Engineer
Enterprise(> 1000 emp.)
Products used within SAS Viya Platform: SAS Visual Data Mining and Machine Learning, SAS Visual Statistics
What do you like best about SAS Viya Platform?
It is one of the best cloud-based and in-memory analytics software in the market. It is very easy for use who has already worked on SAS Studio or SAS enterprise Guide. One can easily connect it with Teradata or Hadoop for large data processing . It has inbuilt predictive analytics methodology like logistic regression or decision Tree and one can easily implement this without writing codes. In addition to this, it has an inbuilt feature for Data visualization as well . Review collected by and hosted on G2.com.
What do you dislike about SAS Viya Platform?
Sometimes, it get stuck or get hanged while multiple users are working on this in the login page of SAS Via otherwise its very easy to use and work for statistical analyst. Review collected by and hosted on G2.com.
IF
Verified User in Financial Services
Enterprise(> 1000 emp.)
Rating Updated ()
Original
Products used within SAS Viya Platform: SAS Model Manager, SAS Visual Data Mining and Machine Learning
What do you like best about SAS Viya Platform?
SAS Viya is designed to work in a cloud environment, allowing users to take advantage of cloud infrastructure for scalability and flexibility.
SAS Viya leverages in-memory processing to accelerate analytics and reporting, allowing for faster insights from large datasets.
SAS Viya allows the integration with open souce languagues like Python or R.
SAS Viya is a platform that prodides great capabilities to users in the field of advanced analytics, including statistical analysis, machine learning, and deep learning.
SAS Viya is somehow easy to learn and the SAS community is vast and always willing to help.
The deployment in AWS was not that complicated.
SAS Viya can be use widely by different type of line of business in an organisation. Review collected by and hosted on G2.com.
What do you dislike about SAS Viya Platform?
Even though the tool provides great value, the product is not cheap. Review collected by and hosted on G2.com.
TS
Tiffiany S.
Management Staff
Small-Business(50 or fewer emp.)
Products used within SAS Viya Platform: SAS Data Quality, SAS Model Manager, SAS Visual Data Mining and Machine Learning, SAS Visual Statistics, SAS Econometrics, SAS Visual Forecasting, SAS Visual Text Analytics, SAS Optimization, SAS Visual Analytics, SAS Intelligent Decisioning, SAS Data Preparation, SAS Viya
What do you like best about SAS Viya Platform?
The charts and AI generated analytics are incredibly accurate. I have checked many of the things that I've been given in chart/graph form and there have been zero errors. Not only is the platform "smart", but it's intuitive and very user friendly! Set up is quick and easy, integration was flawless. Customer service is top-notch! I use this platform many times per day! Review collected by and hosted on G2.com.
What do you dislike about SAS Viya Platform?
I've not come across any downsides or dislikes for this platform at all. Review collected by and hosted on G2.com.
RS
Ruchi S.
Mid-Market(51-1000 emp.)
Products used within SAS Data Science Programming: SAS Visual Data Mining and Machine Learning
What do you like best about SAS Data Science Programming?
SAS provides the complete inbuilt algorithm for data curation, macro programming, advanced analytics, AI and machine learning models to through SAS Viya and Visual Data Mining and Machine Learning with just few lines of code. Review collected by and hosted on G2.com.
What do you dislike about SAS Data Science Programming?
Need very thorough understanding of the ML & AI model before implementing and interpretng the outcome. Review collected by and hosted on G2.com.
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