As a Data Scientist, I have experienced many Data Visualisation tools. What I can say from my experience is that I found SAS Visual Analytics to be very smooth and user-friendly. It can easily handle massive data without much lag. It is straightforward to build model pipelines and monitor them. It is an excellent tool for EDA and reporting data and dashboarding. Review collected by and hosted on G2.com.
I think there is very limited documentation, and support is also minimal. There is significantly less training material available online which makes it very difficult to use Review collected by and hosted on G2.com.
SAS data science Decisioning is very strong tool available in market for Cards decisioning and data analysis. Review collected by and hosted on G2.com.
There were no such issues with SAS. SAS support team is highly available for any issues or concerns. Review collected by and hosted on G2.com.
Cloud storage with this we can execute program faster. Review collected by and hosted on G2.com.
Nothing, mainly it is limited to single mechine not for LASR, HPA. Review collected by and hosted on G2.com.
The platform's commitment to data governance, security, and compliance is commendable. Its user-friendly interface, which simplifies complex analytics tasks, making them accessible to users of varying skill levels Review collected by and hosted on G2.com.
Minor bug fixes, customization options. Cost 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 deifferent models which might be developed by the tools. Review collected by and hosted on G2.com.
I like the data analysing and interactive dashboards , they are very helpful in sharing my idealogies with my colleagues. Exploring and discovering my skills. Identifying critical drivers. Review collected by and hosted on G2.com.
I like everything about SAS apart from the cost and design. The software key relations , outliers, clusters , trends can be different. Path analysis also could be better. Review collected by and hosted on G2.com.
A person who does not have expertise in coding can use and learn this software. Its good for visualisation Review collected by and hosted on G2.com.
Little complex for use a, interface should be more user friendly Review collected by and hosted on G2.com.
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.
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.
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.