SAS Model Manager Reviews & Product Details

SAS Model Manager is a valuable tool for organizations like mine who are actually looking to effectively manage their business models and want to create further analytics. The main advantage of using it is a centralized model repository for storage and real-time performance monitoring of models. Review collected by and hosted on G2.com.

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

Simplify or reuse models for different projects. Supports Python models. Review collected by and hosted on G2.com.

None as of now as per the usage of the SAS Model Manager. Review collected by and hosted on G2.com.

Scalability

Open Architecture

Cloud Integration

Machine Learning and AI

Model Management

Visual Analytics

Real-Time Analytics

Governance and Security

Community and Support Review collected by and hosted on G2.com.

Cost

Learning Curve

Resource Requirements

Complexity

Vendor Lock-In

Integration Challenges

Community and Ecosystem

Market Competition

Customization and Review collected by and hosted on G2.com.

Very useful tool for my team for model development and deployment Review collected by and hosted on G2.com.

not great for different models which might be developed by the tools. Review collected by and hosted on G2.com.

Easy interface to access all the registered models for publishing and deployment of the end-user application. Easy to access existing models to access customized according to the domain like Feature transfer. Even the models created by open source code like R or python can be used and implemented through Model Manager Review collected by and hosted on G2.com.

Even though the Model is generated through Drag and drop, point and click interface, the back end code is written in SAS, So If the code is to be debugged, SAS expertise is required. SAS community with expertise in the model is small comparing the other sources for Python or R in the market Review collected by and hosted on G2.com.

Prebuilt models that are simple to use and can be readily customized for a particular domain, like SAS Model Manager and Feature Transfer. What I value most is the built-in platform that allows for the distribution of the model and score in many formats. Review collected by and hosted on G2.com.

There are no disadvantages to this product other than its cost, which is a major negative because most alternatives use an open-source platform. Review collected by and hosted on G2.com.

Simple to access pre-built models that can be easily changed for a certain domain, such as Feature Transfer and SAS Model Manager. The built-in platform to publish the model and score in various formats, is what I enjoy the most. Review collected by and hosted on G2.com.

Lack of sources for answers and installation taking a little bit longer than anticipated Review collected by and hosted on G2.com.

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 inbuilt platform to publish the model and scoring in different files which i like the most. Review collected by and hosted on G2.com.

As the model manager inbuilt the capability of custom coding as well as capable of open source as well we can build customised model for better performance so i haven't seen any dislikes as of now. Review collected by and hosted on G2.com.

What I like about SAS model manager

1. we can create models with repeatable machine-learning pipelines

2. stay organized and keep track of your model history with a single, user-friendly interface that allows you to easily view and manage changes in ownership and versioning of your models

3. Schedule jobs to detect model decay and impulsively retrain models in case of bias detection or poor performance Review collected by and hosted on G2.com.

1. High cost is one main factor for someone to resist using this tool

2. Not enough communities posting solutions / Q&A with respect to errors/issues on model manager Review collected by and hosted on G2.com.

SAS Model Manager can store a sizable amount of model documentation, version control, audibility, and "build once, deploy everywhere" capability. Review collected by and hosted on G2.com.

The product installation could take some time. A better user interface (UI) could be possible. It can occasionally be perplexing when we hear many suggestions. Review collected by and hosted on G2.com.