SAS Visual Machine Learning Reviews - Page 5

Integration of various advanced features into a single interface really made the user friendly which has greatly effected the user time utillisation. Review collected by and hosted on G2.com.

More illustrative user support about the features and options available Review collected by and hosted on G2.com.

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.

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.

The SAS QC is reduces the manual work and automation is work very smoothly, statistical process control. Review collected by and hosted on G2.com.

The SAS QC is not properly visualization the data and need to require more additional visualization the data in software. Review collected by and hosted on G2.com.

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.

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.

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.

Even though the tool provides great value, the product is not cheap. Review collected by and hosted on G2.com.

SAS Data preparation using SAS EG and SAS DI Studio is very easy and effective. The ETL data can be loaded on Database and SAN for data scientists to consume. Review collected by and hosted on G2.com.

Data extraction is not straight forward process and is tedious task compared to other programming languages like python Review collected by and hosted on G2.com.

The range of statistical tools is incredibly comprehensive, allowing for in-depth analysis and customization. I feel it as a powerhouse for tackling complex quality control projects Review collected by and hosted on G2.com.

The user interface is little overwhelming, and the learning curve is pretty steep, especially for beginners or those unfamiliar with SAS products. Review collected by and hosted on G2.com.

Improves quality, quantity and service of the product. Review collected by and hosted on G2.com.

There are many different sub levels in it. Review collected by and hosted on G2.com.

Sas model manager helps deploy the models ,Alert genration and validation support for created models ,It works as an automated process for continuies integration and deliver for the piplines Review collected by and hosted on G2.com.

As we can integrate other model created with help of R and Python but for debugging those we need the expertise with those languages Review collected by and hosted on G2.com.

It is easy to develop and deploy analytical model using SAS Model Manager, many techniques, including machine learning and statistical modeling are available to data scientists.

SAS Model Manager allows us to monitor the performance of deployed models over time. This includes tracking key performance indicators, such as accuracy, precision, and recall, to ensure that models continue to provide accurate and reliable predictions.

SAS Model Manager includes version control capabilities, allowing users to track and manage different versions of a model. This is crucial for maintaining a clear audit trail and reverting to previous versions if needed.

The tool enforces governance policies to ensure that models adhere to regulatory and organizational guidelines.

SAS Model Manager can be deployed in the cloud (AWS).

SAS Model Manager integrates with other SAS Viya components and SAS solutions, providing a seamless workflow for end-to-end analytics processes.

With automation and workflow management capabilities, SAS Model Manager helps streamline the model development and deployment process, reducing the time and effort required.

SAS Model Manager allows for the retirement of models that are no longer in use or have been replaced by newer versions. This ensures that only relevant and up-to-date models are actively deployed. Review collected by and hosted on G2.com.

Even though SAS Model Manager provides a lot of value to organization, it is not a cheap product. Review collected by and hosted on G2.com.