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SAS Model Manager Reviews & Product Details

SAS® Model Manager is a web-based application that enables organizations to register, modify, track, score, publish, and report on analytical models. Organizations can store models within folders or projects, develop and validate candidate models, and assess candidate models for champion model selection. They can then publish and monitor champion models. All model development and model maintenance personnel, including data modelers, validation testers, scoring officers, and analysts can use SAS Model Manager.

Seller

SAS Institute Inc.

Languages Supported

Arabic, Czech, Danish, German, Greek, English, French, Hebrew, Croatian, Hungarian, Italian, Japanese, Korean, Dutch, Norwegian, Polish, Portuguese, Russian, Slovak, Slovenian, Spanish, Serbian, Swedish, Thai, Turkish, Chinese (Simplified), Chinese (Traditional)

Product Description

Easily register, modify, track, score, publish and report on your analytical models using a visual, web-based interface. Store models within folders or projects. Develop and validate candidate models. Assess candidate models for champion model selection. Then publish and monitor champion models to ensure optimal model performance.

Overview by

Crystal Sullivan (Customer Engagement Analyst at SAS)

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SAS Model Manager Media

SAS Model Manager Demo - Ensure model governance and transparency.

A centralized, searchable repository for all types of models and analytical assets gives you complete visibility into your analytical processes, ensuring traceability and governance. The solution simplifies model management with version control. You can track project history through each step of ...

SAS Model Manager Demo - Easily validate models to ensure high-quality predictions.

Use our open-source package, SASctl, to automatically generate executable scoring code for Python-based models. You can easily test models, validating model scoring logic before models are pushed into production, from an easy-to-use no-code interface.

SAS Model Manager Demo - Automatically monitor model performance to keep them performing as expected.

SAS Model Manager automatically monitors the performance of models – from inception, to usage, to retirement – regardless of the language used to create them. Performance benchmarking reports display models’ scoring performance and document conformity to required standards. Alerts are generated t...

SAS Model Manager Demo - Build once, deploy everywhere – no recoding required.

Efficiently move your analytical models from the innovation lab into your chosen production environment. SAS Model Manager has you covered, whether your need to: deploy models into databases; score data in batch; host a real-time REST API scoring endpoint; push models into a container hosted in r...

SAS Model Manager Demo - Save time and resources by automating the model life cycle using a CI/CD approach.

SAS Model Manager enables you to integrate multiple environments, tools and applications using open REST APIs. You can automate the analytic life cycle by creating custom workflows that match your business requirements and processes.

SAS Model Manager Reviews (69)

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Anushree R.

Small-Business (50 or fewer emp.)

5/6/2025

"Easy and Efficient"

4.5/5

What do you like best about SAS Model Manager?

My favorite part about Model Manager was the ability to automate processes that would otherwise take a lot more time & energy in just R or Python. For example, the train and validation split of the data is automatically taken care of when running the model pipeline. Same goes for comparing the model outputs (Accuracy, area under ROC, etc.). Review collected by and hosted on G2.com.

What do you dislike about SAS Model Manager?

Parameter tuning wasn't as intuitive (at least from the perspective of someone who is more familiar with coding this whole process). I thought it was difficult to understand many of the parameter tuning options, as well as hard to search for the specific tweaks I was looking to do. Review collected by and hosted on G2.com.

Verified User in Public Safety

Small-Business (50 or fewer emp.)

5/6/2025

"ML Made Easy"

4/5

What do you like best about SAS Model Manager?

I love how simple Model Manager made working with classical ML models. Traditionally these models are made at the start of every task when working with data as an elementary step, but manual coding takes up a decent amount of time. With Model Manager I was pleased to see how simple the process was and how it even provided comparisons and tons of accuracy metrics. Review collected by and hosted on G2.com.

What do you dislike about SAS Model Manager?

I would have preferred more documentation. With every new tool there is a learning curve but figuring out the small details relied on my own efforts of exploring the site for a while. There is a lot of documentation and instruction overall with SAS but it is hard to navigate and find the specific information I need. Review collected by and hosted on G2.com.

kumara t.

Small-Business (50 or fewer emp.)

5/7/2025

"Managing multiple timeseries model"

2/5

What do you like best about SAS Model Manager?

Model manager allows me to view all my models in a singular place. Allows me to share and collaborate with others in my team Review collected by and hosted on G2.com.

What do you dislike about SAS Model Manager?

. But better functionality in viewing who owns the model. Who has done updates to the model in an audit capability would be good Review collected by and hosted on G2.com.

Verified User in Consulting

Small-Business (50 or fewer emp.)

6/17/2024

"Convenient in Maintaining and Deploying Model"

4/5

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 Review collected by and hosted on G2.com.

What do you dislike about SAS Model Manager?

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.

Verified User in Banking

Enterprise (> 1000 emp.)

11/19/2023

"SAS Model Manager eases the management of model lifecycle in many ways (monitoring, perf tracking)"

5/5

What do you like best about SAS Model Manager?

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.

What do you dislike about SAS Model Manager?

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.

What problems is SAS Model Manager solving and how is that benefiting you?

Model Proliferation and Management:

Problem: Users create and deploy numerous analytical models, leading to challenges in tracking, managing, and governing these models.

Solution: SAS Model Manager centralizes model management, providing a unified platform for tracking, version control, and governance. This helps prevent model proliferation and ensures efficient management of the entire model lifecycle.

Model Monitoring and Performance Tracking:

Problem: Once models are deployed, it's essential to monitor their performance and track key metrics to ensure ongoing accuracy.

Solution: SAS Model Manager provides tools for monitoring model performance over time. This helps the users identifying potential issues, such as a decline in accuracy, and take corrective actions to maintain the effectiveness of the models.

Version Control and Audit Trail:

Problem: Without proper version control, it's challenging to track changes to models and maintain an audit trail.

Solution: SAS Model Manager includes version control features, allowing the organization to track and manage different versions of a model. This helps in maintaining a clear audit trail, supporting transparency and accountability. Review collected by and hosted on G2.com.

Gajanand C.

Machine Learning Engineer

Mid-Market (51-1000 emp.)

10/3/2023

Business partner of the seller or seller's competitor, not included in G2 scores.

"SAS Model Manager Simplifies Model Management"

4.5/5

What do you like best about SAS Model Manager?

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.

What do you dislike about SAS Model Manager?

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.

What problems is SAS Model Manager solving and how is that benefiting you?

SAS Model Manager helps organizations manage and deploy analytical models in a structured and controlled environment and provides a centralized platform for tracking, managing, and monitoring the entire life cycle of analytical models, from development to deployment and beyond which primarily includes 1) Model Comparison, Version Control, Model Deployment, Model Repository, model performance monitoringand alerts, etc

By using the SAS Model Manager, we have seen significant benefits from implementing it. Before adopting SAS Model Manager, managing and deploying updated versions of this critical model was a time-consuming process, often leading to delays in implementing improvements. With SAS Model Manager, we now have a streamlined workflow. Our data scientists can easily version and compare different iterations of the model, allowing for faster and more accurate updates. Moreover, the platform's integration capabilities have made it seamless to deploy the latest version directly into our customer relationship management system Review collected by and hosted on G2.com.

Verified User in Animation

Small-Business (50 or fewer emp.)

12/12/2023

"Robust and Advanced Data Management"

5/5

What do you like best about SAS Model Manager?

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.

What do you dislike about SAS Model Manager?

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.

Ramesh P.

React Native Developer

Computer Software

Mid-Market (51-1000 emp.)

10/18/2023

"Data science decision making"

5/5

What do you like best about SAS Model Manager?

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.

What do you dislike about SAS Model Manager?

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.

Verified User in Education Management

Small-Business (50 or fewer emp.)

9/3/2023

"Best application to manage Business Models and recourses"

5/5

What do you like best about SAS Model Manager?

SAS Modеl Managеr is a valuablе tool for organization like mine who actually looking to еffеctivеly managе thеir business modеls and want to create further analytics. the main advantage of using is a cеntralizеd modеl rеpository for storagе and rеal-timе pеrformancе monitoring of modеls. Review collected by and hosted on G2.com.

What do you dislike about SAS Model Manager?

Although SAS Model Manager is a very good tool, but smaller firms may view it as difficult, expensive in compare with other similar ones. It could be difficult to integrate with other tools, and modification might need for professional help which is some time very difficult. Review collected by and hosted on G2.com.