SAS Visual Data Science Decisioning Reviews - Page 14

What do you like best about SAS Visual Analytics?

With its quick in-memory processing speed and security, SAS VA enables users to process larger datasets.

SAS VA is a fantastic tool for giving clients a storytelling visualization.

If you work in the insurance industry and require a single-screen depiction of revenue growth, SAS Visual Analytics is a fantastic tool.

SAS VA has a built-in processing engine similar to CAS that enables users to load data directly into servers without the need for extra pipelines. Review collected by and hosted on G2.com.

What do you dislike about SAS Visual Analytics?

If you're using the VA server for the first time, managing it can be a difficult undertaking.

When it comes to having an artistic design on the dashboard pages, SAS VA's Visual analytics is rather constrained, which is something I don't enjoy.

In VA, we are unable to add our own data values to objects like button bars and other types of data.

To work more effectively, the developer also needs to be familiar with SQL and cloud technologies. Review collected by and hosted on G2.com.

What do you like best about SAS Viya Platform?

Sas viya is very fast and effective data quality and visualization tool Review collected by and hosted on G2.com.

What do you dislike about SAS Viya Platform?

It is too complex. Needs lot of support to implement Review collected by and hosted on G2.com.

What do you like best about SAS Model Manager?

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.

What do you dislike about SAS Model Manager?

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.

What do you like best about SAS Visual Data Mining and Machine Learning?

This helps embrace math which is the core of neural network design. These are the two main methods which most businesses use. This basically simplifies managing large quantity of data and how well we can comprehend it. Review collected by and hosted on G2.com.

What do you dislike about SAS Visual Data Mining and Machine Learning?

This requires in depth training and at times affording these high performance teams turns out to be expensive. Data acquisition is a minor concern here. This also at times poses threat to security and data privacy as hackers can easily y get hold of this data. Results paved from data mining some times paves to be accurate. Review collected by and hosted on G2.com.

What do you like best about SAS Viya Platform?

Cloud based, Good and easy learning. Easy implementation. Review collected by and hosted on G2.com.

What do you dislike about SAS Viya Platform?

Nothing much, yet to explore. Definitely need to find out. Review collected by and hosted on G2.com.

What do you like best about SAS Viya Platform?

User experience is good and variety of features. Review collected by and hosted on G2.com.

What do you dislike about SAS Viya Platform?

It's response time sometimes lacks. This doesn't leave positive impact. Review collected by and hosted on G2.com.

What do you like best about SAS Intelligent Decisioning?

- easy of use and getting work done

- used across many processes and use case, and with sufficient features

- good integration with other tools Review collected by and hosted on G2.com.

What do you dislike about SAS Intelligent Decisioning?

- sometimes slow when using huge data

- hard to implement complex logic / algorithms Review collected by and hosted on G2.com.

What do you like best about SAS Visual Data Science Decisioning?

Wide array of tools for data visualization and decision making is available for user. The reporting of data is simple and lucid. Integration is simple. Review collected by and hosted on G2.com.

What do you dislike about SAS Visual Data Science Decisioning?

Debugging frequency could be lesser. Customization could be better. Price point could be worked upon Review collected by and hosted on G2.com.

What do you like best about SAS Intelligent Decisioning?

ease to manage big data and visualize it Review collected by and hosted on G2.com.

What do you dislike about SAS Intelligent Decisioning?

can be a bit challenging to code or write queries Review collected by and hosted on G2.com.

What do you like best about SAS Add-In for Microsoft Office 365?

It is very helpful for all types of projects. Review collected by and hosted on G2.com.

What do you dislike about SAS Add-In for Microsoft Office 365?

It worked well for me. I never had issues. Review collected by and hosted on G2.com.