SAS Model Manager

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SAS Model Manager Reviews & Product Details

admin

Verified User in Banking

Enterprise(> 1000 emp.)

Validated Reviewer

Verified Current User

Review source: Organic

Nov 20, 2023

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

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SAS Model Manager allows for the retirement of models that are no longer in use or have been replaced by newer versions.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.

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SAS Model Manager Overview

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What is SAS Model Manager?

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.

This product is included in:

SAS Advanced Analytics

707 reviews

SAS Viya Advanced

350 reviews

SAS Visual Data Science Decisioning

455 reviews

SAS Viya Platform

965 reviews

SAS Visual Machine Learning

357 reviews

SAS Model Manager Details

Discussions

SAS Model Manager Community

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)

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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.

How do you position yourself against your competitors?

SAS Model Manager operationalizes Analytic Models irrespective of the programming language it was coded in. Tuned to align with the ModelOps lifecycle, organizations navigate model validation, deployment, and monitoring across a variety of environments. SAS Model Manager can deploy models across a number of publishing destinations to include databases, cloud environments, streaming locations, on-premises and at the edge. This allows diverse teams to streamline, and automate model deployment with the most productive analytics platform available.

Seller Details

Seller

SAS Institute Inc.

Year Founded

1976

HQ Location

Cary, NC

Twitter

@SASsoftware
62,154 Twitter followers

LinkedIn® Page

www.linkedin.com
17,268 employees on LinkedIn®

Phone

1-800-727-0025

Description

SAS offers business analytics software and services, and is an independent vendor in the business intelligence market. Through innovative software and services, SAS empowers and inspires customers around the world to transform data into intelligence. SAS gives you THE POWER TO KNOW®.

Overview Provided by:

Crystal Sullivan

Customer Engagement Analyst at SAS

Recent SAS Model Manager Reviews

6/26/2024

Verified UserSmall-Business (50 or fewer emp.)

4.0 out of 5

"Convenient in Maintaining and Deploying Model"

Sas model manager helps deploy the models ,Alert genration and validation support for created models ,It works as an automated process for continui...

5/14/2024

Amulraj P.Small-Business (50 or fewer emp.)

4.0 out of 5

"Easy implementation of the models and deployment"

Easy interface to access all the registered models for publishing and deployment of the end-user application. Easy to access existing models to acc...

12/16/2023

Uttam K.Small-Business (50 or fewer emp.)

4.5 out of 5

"Work with different analytics project with using sas analytics tools"

In sas model manager there is some step by step process to build a pipeline modile and after building the model in sas model manager there is some...

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.