SAS Data Science Programming Reviews - Page 19

EDA, Visuals, and interactive analytics plots help me extract better insights from text, and tabular data and report the KPIs to businesses to take better and timely decisions. Review collected by and hosted on G2.com.

lack of extensive customization for font colors & styles, data modeling can be better and some features from tableau and powerbi can be adapted to make it a whole. Review collected by and hosted on G2.com.

Large parallel processing's strong performance and the thorough machine learning pipeline building blocks make it possible to investigate and compare a variety of methods more quickly. Review collected by and hosted on G2.com.

The final result might not be what was anticipated. Review collected by and hosted on G2.com.

Interactive tool for non-coders to get the most out of their data without messing their minds writing a hundred lines of SQL. Integration with Microsoft office suite ensures that one can easily perform deep-dive insights and share their in-the-go via Outlook/ MS Excel. Review collected by and hosted on G2.com.

Part of SAS legacy tech stack ecosystem and is a bit heavy to work with compared to open-source solutions. Limited training material/lack of in-depth documentation in the public domain makes it difficult to adopt on top of the costly licence fees. Review collected by and hosted on G2.com.

SAS Visual Analytics is a very easy-to-use tool for getting visual insights into your data including hidden trends and correlations between different parameters or entities of data. It provides a simple drag-drop of interface and a variety of graphs to explore your data. This can also be used to prepare and productionize reports and represent them to required stakeholders as a package. Review collected by and hosted on G2.com.

It's hard to think of a downside of SAS VA but sometimes it becomes clumsy to rework the graphs all from a scratch. Review collected by and hosted on G2.com.

What I like most about SAS Visual Analytics is that it is very user-friendly, has a friendly interface, and is very intuitive, making it perfect for anyone who wants to use it. Review collected by and hosted on G2.com.

There really aren't things I dislike about SAS Visual Analytics, so far I have had a pleasant experience with its interface. Perhaps the only thing I would add could be recommended graphs. Review collected by and hosted on G2.com.

Visual graphics looks good. It is easy to have multiple columns and data in the graphics. Review collected by and hosted on G2.com.

It is not possible to share it on an external page. You have to have a log-in to see the data and it is not possible to have real time data on a external page. Review collected by and hosted on G2.com.

In SAS VIYA, explore and visualize tab, we can create different analytical models like the predictive and forecasting models, and it's easy to imagine the output of that models. Review collected by and hosted on G2.com.

There is no reason to dislike SAS or SAS VDMML. It's easy to learn and prepare a model and pipeline. Also, we can run the open-source code there with an exact output. Review collected by and hosted on G2.com.

SAS visual analytics helps me create visual dashboards ,analyze data quickly. Helps me share my ideas with my organization. Helps me create and calculate derived data Review collected by and hosted on G2.com.

I do not use the charts much, I would like to just suggest that you can work on adding more value to the combination of derived data .I also feel it can be more cost effective Review collected by and hosted on G2.com.

SAS Visual Analytics is a great way to get non-coders and less skilled programmers into a position where they can create analytical reports and run some predictive modeling tasks. Better than open source alternatives, and great if you're already part of the SAS ecosystem. If you're thinking about creating business intelligence dashboards and considering Tableau, you may want to take a look at SAS Visual Analytics since it does some more serious prective modeling and data transformation tasks with a point and click interface. Review collected by and hosted on G2.com.

Is tied to the SAS ecosystem, and requires a fairly large and complicated software stack. The license can be fairly expensive and SAS tries to upsell services and products quite often. There are open source alternatives that are free, but harder to use effectively. Review collected by and hosted on G2.com.

Easy to use GUI interface to explore, process and understand text corpus. Has built-in modules/packages for multiple use cases like parsing, sentiment analysis etc. Review collected by and hosted on G2.com.

Since it is proprietary software, there is no proper documentation. There is no explanation behind the different in-built NLP solutions available in the software. Hard to use for multilingual texts. Review collected by and hosted on G2.com.