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SAS Model Manager Reviews & Product Details

Kranthi K.
KK
Assistant Engineer
Small-Business(50 or fewer emp.)
More Options
Validated Reviewer
Review source: G2 invite
Incentivized Review
What do you like best about SAS Model Manager?

This software has extensive features with great user interface. Some of its key benifts are that we can view dashboard reports, publish models for scoring purposes and many other such key features. Review collected by and hosted on G2.com.

What do you dislike about SAS Model Manager?

This products QAs and articles can be increased so that more and more users can be benefited when they are looking for any solution Review collected by and hosted on G2.com.

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

We generally use this application for data sorting, categorizing and for summarising feature. Also its importing and exporting features are really helpful Review collected by and hosted on G2.com.

SAS Model Manager Overview

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.

SAS Model Manager Details
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
Year Founded
1976
HQ Location
Cary, NC
Twitter
@SASsoftware
62,434 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®.


Crystal S.
CS
Overview Provided by:
Customer Engagement Analyst at SAS

Recent SAS Model Manager Reviews

Verified User
C
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...
Amulraj P.
AP
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...
Uttam K.
UK
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...
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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.
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72 out of 73 Total Reviews for SAS Model Manager

4.6 out of 5
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SAS Model Manager Pros and Cons

How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Cons

Overall Review Sentiment for SAS Model ManagerQuestion

Time to Implement
<1 day
>12 months
Return on Investment
<6 months
48+ months
Ease of Setup
0 (Difficult)
10 (Easy)
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G2 reviews are authentic and verified.
Shivraj P.
SP
SAS Consultant
Mid-Market(51-1000 emp.)
Product Reviewed: SAS Viya Platform
Validated Reviewer
Verified Current User
Review source: G2 invite
Incentivized Review
Products used within SAS Viya Platform: SAS Model Manager, SAS Visual Analytics, SAS Studio, SAS Viya
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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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 Review collected by and hosted on G2.com.

Verified User in Consulting
CC
Small-Business(50 or fewer emp.)
Product Reviewed: SAS Viya Platform
Validated Reviewer
Verified Current User
Review source: G2 invite
Incentivized Review
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 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.

What do you dislike about SAS Viya Platform?

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.

What problems is SAS Viya Platform solving and how is that benefiting you?

Easy Data management ,Building and deplyoing models, storing the colud based data Review collected by and hosted on G2.com.

MT
SAS Visual Forecast developer
Small-Business(50 or fewer emp.)
Validated Reviewer
Review source: Organic
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. Review collected by and hosted on G2.com.

What do you dislike about SAS Viya Platform?

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

What problems is SAS Viya Platform solving and how is that benefiting you?

Minimal use of other platforms Review collected by and hosted on G2.com.

Verified User in Financial Services
IF
Enterprise(> 1000 emp.)
Validated Reviewer
Verified Current User
Review source: Organic
(Original )Information
Products used within SAS Viya Platform: SAS Model Manager, SAS Visual Data Mining and Machine Learning
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 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.

What do you dislike about SAS Viya Platform?

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

What problems is SAS Viya Platform solving and how is that benefiting you?

Fraud detection, regulatory risk modeling, auditing, loan evaluation, porfolio evaluation, marketing campaign, customer analysis Review collected by and hosted on G2.com.

Verified User in Consulting
CC
Small-Business(50 or fewer emp.)
More Options
Validated Reviewer
Verified Current User
Review source: Organic Review from User Profile
(Original )Information
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.

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

Accelated deplyoment of the modesl easy in alert genrating process Review collected by and hosted on G2.com.

Verified User in Banking
IB
Enterprise(> 1000 emp.)
More Options
Validated Reviewer
Verified Current User
Review source: Organic
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.
GC
Machine Learning Engineer
Mid-Market(51-1000 emp.)
Product Reviewed: SAS Model Manager
More Options
Validated Reviewer
Review source: G2 invite
Incentivized Review
Business partner of the seller or seller's competitor, not included in G2 scores.
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.

Tiffiany S.
TS
Management Staff
Small-Business(50 or fewer emp.)
Validated Reviewer
Review source: Seller invite
Incentivized Review
What do you like best about SAS Viya Platform?

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.

What do you dislike about SAS Viya Platform?

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

What problems is SAS Viya Platform solving and how is that benefiting you?

It saves me tons of time by generating all of my data and analytics and creating handy visuals to view and share with my team. This saves so much time and energy. I can focus my attention elsewhere. Review collected by and hosted on G2.com.

Verified User in Animation
UA
Small-Business(50 or fewer emp.)
More Options
Validated Reviewer
Review source: G2 invite
Incentivized Review
Products used within SAS Visual Data Science Decisioning: SAS Model Manager, SAS Visual Data Mining and Machine Learning
What do you like best about SAS Visual Data Science Decisioning?

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 Visual Data Science Decisioning?

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.

What problems is SAS Visual Data Science Decisioning solving and how is that benefiting you?

We have used SAS VSDS for model management in our machine learning development journey. It was a great experience using the VSDS. It made the tedious journey of machine learning very smooth and easy. Review collected by and hosted on G2.com.

Ramesh P.
RP
React Native Developer
Computer Software
Mid-Market(51-1000 emp.)
More Options
Validated Reviewer
Review source: G2 invite
Incentivized Review
Products used within SAS Visual Data Science Decisioning: SAS Model Manager
What do you like best about SAS Visual Data Science Decisioning?

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 Visual Data Science Decisioning?

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.

What problems is SAS Visual Data Science Decisioning solving and how is that benefiting you?

SAS Visual Data Science Decisioning deploy predictive models. It empowers us to analyze amounts of data and make informed decisions. The softwares speed and precision are instrumental and increasing our decision-making process. Review collected by and hosted on G2.com.