It makes things easy to use with Artificial intelligence Review collected by and hosted on G2.com.
Nothing. It was all good. Can add more user friendly features. Review collected by and hosted on G2.com.
Its wide range of tools which improvise the product and optimises procesess.
it also makes testing easy sometimes Review collected by and hosted on G2.com.
I would also say its little slow and makes the validation slow as well Review collected by and hosted on G2.com.
SAS Visual Analytics helps us create stories from raw data with the help of natural language and machine learning which are accessible to communicate. It helps build and share data insight dashboard that is easy to slice and dice with minimum effort and does not demand specialisation to understand the business impact. Review collected by and hosted on G2.com.
SAS not being an open source causes problems, and integration with generic tools could sometimes be a problem. SAS is slightly costly compared to its substitutes, and with new open-source tools coming into the picture, it won't be easy to justify the expense. Review collected by and hosted on G2.com.
In SAS Visual data mining and machine learning tool, we can easy to prepare different models like predictive models, time series models, etc. Using SAS VDMML we can create open source models also. Review collected by and hosted on G2.com.
It's the best analytic tool for modeling, but the proper study materials are unavailable to all the new developers or students that are interested to learn SAS VDMML. Review collected by and hosted on G2.com.
- Nice layout for ease of reading/experience
- ability to create multiple different dashboards on one page
- ability to upload different file format for data analysis Review collected by and hosted on G2.com.
- Limitation on the type of map that can be uploaded. And lack of ability map for quick implementation for map analytics
- the need for ability to use SAS VA on portable devices such as phone, tablet Review collected by and hosted on G2.com.
SAS Visual Data Mining and Machine Learning (VDMML) is easy to use, leveraging a low code/no code approach.
The visual aspect of the solution facilitates the analyses and data exploration.
The solution integrates with open-source software, maximizing the use of various algorithms.
The possibility to run the tool in a cloud-based environment.
SAS Technical Support offers efficient support, and it is reliable. Review collected by and hosted on G2.com.
The fact that the solution is not free may be seen as a disadvantage by certain clients. That being said, the value added by VDMML needs to be put in perspective, and the value that the solution can offer as a whole must be considered. Review collected by and hosted on G2.com.
SAS Model Manager can store a sizable amount of model documentation, version control, audibility, and "build once, deploy everywhere" capability. Review collected by and hosted on G2.com.
The product installation could take some time. A better user interface (UI) could be possible. It can occasionally be perplexing when we hear many suggestions. Review collected by and hosted on G2.com.
Anybody can manage to create, compare, and implement valuable insights thanks to intelligent automation found in visual data mining and machine learning. Review collected by and hosted on G2.com.
If you're using it for novices, it's challenging to use and requires specialised understanding. The quality of the data might deteriorate with time. Review collected by and hosted on G2.com.
The feature I enjoy the most about SAS Model Manager is its method for generating pipeline models and an integrated platform for publishing the model. Review collected by and hosted on G2.com.
There are no drawbacks to this tool other than the price. If the price can be marginally lowered, that will be one of its strongest competitive advantages. Review collected by and hosted on G2.com.
1. It automatically generates a streamlined pipeline based on the data loaded by the user, and there are a whole lot of machine learning techniques and features.
2. Compared with competitors, The pipeline created is editable at any point. You can add machine learning techniques even after the pipeline is created by the tool. This can not be done by competitors. Review collected by and hosted on G2.com.
Not much to dislike, however there are a few points listed below.
1. It consists of extensive features, which makes it difficult to use.
2. Fewer sources/articles about debugging errors. Review collected by and hosted on G2.com.