SAS Data Science Programming Reviews - Page 14

SAS Visual Statistics is a powerful tool for exploring data and creating predictive models in the retail industry. I run predictive models on different user slices and multiple experiments with retail user data. I like the k-means clustering visual graphics. Without writing lengthy codes, I can generate model AUC comparison reports and charts from the user interface. Sharing models with team members is very convenient. Review collected by and hosted on G2.com.

SAS is not an open-source platform, and I sometimes face challenges reconciling model scores. The calculations and methods used in the backend are not exposed to users, which can be a bit annoying. Review collected by and hosted on G2.com.

The most flexible thing about SAS Visual Analytics is the flexibility of pulling data from various sources easily to utilize it for developing the dashboards. It is very easy to use and can be operated using both code and UI. Review collected by and hosted on G2.com.

It does not have functionality that would allow access-controls to secure report objects or sections within a report. If the user has the ability to see a report he will be able to see all sections and objects of that report and there is no way to restrict it. Review collected by and hosted on G2.com.

SAS Visual Text Analytics is a data visualisation, reporting and analytics tool. It is straightforward to learn and use, and the user interface is intuitive and is supported in the cloud. This comes with many machine-learning models that can be used to group documents with common themes. SAS VTA can be plugged on to live application where it can analyse text from live production systems which is amazing. Review collected by and hosted on G2.com.

SAS Visual Text Analytics is not an open-source tool, and it is sometimes difficult to implement a custom scenario. The learning resource is not readily available, and the user base is also more minor compared to open-source alternatives. Review collected by and hosted on G2.com.

To begin with the layout, options to analyse data , compare various data and evaluate how close or far off we are from our set targets. In our hospital we have created dashboard which retrieves data on hourly/daily basis to display to end users how the department/section is performing. Even in our last JCIA review when the end users had demonstrated the data to the JCIA team they were amazed at the data which was presented and also the ability to interact with the dashboard to get the required output in just seconds for any given period of time. Review collected by and hosted on G2.com.

We have not seen any significant downsides as we have rarely faced any issues with the tool. However on the admin side the maintenance does need to be done quite often else we would run into issues due to the number of dashboards we have developed so far. Review collected by and hosted on G2.com.

SAS data quality is a platform where we can manage our entire data quality life cycle in a single place. It also helps us in standardizing and profiling the data. It also helps make the data decision for different domains and is also handy when it comes out as a collaborating tool. Review collected by and hosted on G2.com.

SAS data quality is a slow tool that makes the experience a little unpleasant in today's world, where we need everything much faster. I see that adaptability is easy as UI is good but the time taken for any report generation is little longer than we need. Review collected by and hosted on G2.com.

With the help of this URL-based solution, users can develop a dashboard using machine learning models. Data exploration and analysis are made simpler by the solution's visual component. Review collected by and hosted on G2.com.

We might ultimately encounter issues with the data's quality if they drift or change over time. The data's quality might cause problems as time goes on. Review collected by and hosted on G2.com.

SAS Visual Statistics combines predictive modelling with an easy-to-use user interface that makes it simple to develop, examine, and create interactive visual dashboards from data. I can quickly analyse many scenarios, compare outcomes, and build predictive models in the user interface. This tool has capabilities to run multiple experiments and compare the results side by side. Review collected by and hosted on G2.com.

It might be challenging to reconcile findings using SAS because users aren't privy to internal computations and processes. I occasionally feel constrained when modelling highly complex scenarios, and keeping up with the machine learning industry's rapid evolution is challenging. Review collected by and hosted on G2.com.

SAS Data Management caters to all data requirements, like offering data pipelines from various sources, data sanity, and data visualization. The studio provides excellent features like resuing pipelines for multiple sources as well. Review collected by and hosted on G2.com.

SAS Data Management should continue growing as it solves great problems in a niche domain. Review collected by and hosted on G2.com.

SAS Visual Statistics makes it simple to design, analyse, and create interactive visual dashboards from data by combining predictive modelling with an intuitive user interface. In the user interface, I can easily analyse a variety of scenarios, compare results, and create predictive models. Review collected by and hosted on G2.com.

Users of SAS may find it challenging to reconcile results because they are unaware of internal calculations and procedures. I occasionally feel confined when modelling highly complicated situations, and keeping up with the machine learning industry's quick progress is difficult. Review collected by and hosted on G2.com.

It makes things easy to use with Artificial intelligence Review collected by and hosted on G2.com.

Nothing. It was all good. Can add more user friendly features. Review collected by and hosted on G2.com.