Overview
SAS Model Manager is designed to help users manage, deploy, and track machine learning models. It offers a centralized platform for data scientists and business analysts to collaborate efficiently. With its user-friendly interface, users can easily integrate and streamline the model lifecycle from development to deployment.
Key features
Model Lifecycle Management
Helps manage the entire lifecycle of machine learning models from training to deployment.
Easy Integration
Integrates seamlessly with various data sources and tools, making model development simple.
Automated Model Governance
Ensures that all models comply with necessary regulations and standards automatically.
Collaboration Tools
Supports team collaboration with features that allow multiple users to work on models simultaneously.
Performance Tracking
Monitors model performance over time, providing insights into effectiveness and areas for improvement.
Version Control
Keeps track of different versions of models, allowing users to revert to previous versions if needed.
Scheduling Deployments
Enables users to schedule when models should be deployed, making it easier to manage updates.
Visual Analytics
Provides visual tools to understand model performance and make data-driven decisions.
Pros & Cons
Pros
- User-Friendly Interface
- Robust Collaboration Features
- Strong Support for Compliance
- Effective Performance Monitoring
- Comprehensive Documentation
Cons
- Pricing
- Learning Curve
- Dependency on SAS Ecosystem
- Limited Community Support
- Setup Complexity
Rating Distribution
Screenshots
User Reviews
View all reviews on G2Cloud based analytics platform from SAS
What do you like best about SAS Viya Platform?
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.
What do you dislike about SAS Viya Platform?
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.
What problems is SAS Viya Platform solving and how is that benefiting you?
to perform data anytics and to read huge amount to data in less time
Single click access for all the solutions
What do you like best about SAS Viya Platform?
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...
Agile, efficient and innovative
What do you like best about SAS Viya Platform?
Integration of various advanced features into a single interface really made the user friendly which has greatly effected the user time utillisation.
What do you dislike about SAS Viya Platform?
More illustrative user support about the features and opt...
SAS Viya an intuitive and powerful tool to facilitate advanced analytics and ML capabilities
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 fr...
Convenient in Maintaining and Deploying Model
What do you like best about SAS Model Manager?
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
What do you dislike about SAS Model Manager?
As we can inte...
Company Information
Alternative Machine Learning tools
FAQ
Here are some frequently asked questions about SAS Model Manager.
SAS Model Manager is a tool that helps you manage and track machine learning models throughout their lifecycle.
It is designed for data scientists, business analysts, and organizations looking to streamline their machine learning processes.
Key features include model lifecycle management, automated governance, and performance tracking.
Yes, it has a user-friendly interface, making it accessible for both beginners and experienced users.
Yes, it offers easy integration with various data sources and software.
It includes automated governance features that ensure models meet regulatory standards.
Pricing varies; it is best to check the official website for detailed information.
SAS provides comprehensive documentation and customer support to help users maximize their experience.
Yes, SAS Model Manager allows you to track and assess model performance continuously.
