SAS Model Manager Pros and Cons

Its Fast advanced analytics cloud based platform . the best thing about SAS Viya is single platform which consist all the analytics tools like Data preparation , exploration, cleaninig, building models, flows , Dashboard and many more. in SAS Viya

we can use any language to build models and it has drag and frop option to build models also.

for creating reports or dashboard SAS Viya has automated insights options. it is the fastest platform from SAS. Review collected by and hosted on G2.com.

As SAS Created Viya which will now replace the existing SAS 9.4 , so 9.4 clients struggle to learn or to integrate this tool SAS Viya.

SAS Viya is new so there are few specialised only who can give support to new clients. Review collected by and hosted on G2.com.

Sas Viya is a cloud based which helps to store manage large number of data seemlessly the best part is you can easyly access data,build models ,user friendly interface easy to learn and use the person with knowledege of base sas can also work with sas viya easly just need to gain some knowlede about the cas servers which is completely cloud based no loss of data even if you get disconnected . Creating ID is much more easies and faster in SAS viya Model manger under sas viya helps to deploy models ,and genarate alerts ,sas studio which works for both the cas server and compute server so we get everything under one UI Review collected by and hosted on G2.com.

not much to dislike just some of the content from sas (.4 are not easly accessbile in sas viya Review collected by and hosted on G2.com.

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 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 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.

The main advantage of the SAS model manager is user friendly capabilities, someone who's not a tech expert can navigate through it effortlessly. Its seamless integration capability which plays well with other tools and systems. let's say you have a dashboard in SAS Visual Analytics and you want to use a model you've developed. With SAS Model Manager, it's as simple as a few clicks to deploy and implement that model into your dashboard. Review collected by and hosted on G2.com.

Since SAS model manager coming with lot of features sometimes it is difficult for the new users to take the advantage of those features for some of their specific use case Review collected by and hosted on G2.com.

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.

I've not come across any downsides or dislikes for this platform at all. Review collected by and hosted on G2.com.

SAS is very powerful analytics and data management tool. The full analytics lifecycle including Data management model development and decision making model deployment is fully covered by VSDS Visual Data Science decisioning Review collected by and hosted on G2.com.

Visual data science decisioning is a great and vast experience so I can't share the dislike of that because it has already provided robust experience. Review collected by and hosted on G2.com.

It allows us to restructure our workflow and evaluate rules. Despite stability and documentation concerns the advantages it brings outweigh any drawbacks. Review collected by and hosted on G2.com.

The drag-and-drop functionality is convenient it limits customization options. Make fine-tuning models more challenging. Review collected by and hosted on G2.com.