Large scale automated forecasting gives a great baseline forecast to improve upon. Review collected by and hosted on G2.com.

The plotting within the interface sometimes does not work consistently. Review collected by and hosted on G2.com.

It is super easy to use and the ability to generate data and output it directly in VIYA is a major win. Review collected by and hosted on G2.com.

So far everything is great, only downfall for us is we are not on VIYA 4 yet. Review collected by and hosted on G2.com.

the pipeline methods allows faster drag and drop usability to get the modelling created Review collected by and hosted on G2.com.

The override function on the other hand has very limited capabilities. One for example, the ability to only put in 2 overrides where the data picks it up as FF and FF2. Also would like API capabilities to load data into overrides directly/ Review collected by and hosted on G2.com.

It can efficiently handle large dataset for large scale time series forecasting significantly reducing time for modeling, significantly reducing model development efforts. It's also scalable and easy to integrate with other SAS tools, making it more powerful for an organization. Review collected by and hosted on G2.com.

The learning curve of SAS visual forecasting can be steep for users who are not used to SAS ecosystem. Also the licensing cost can be high making it not affordable for small business & startups. Review collected by and hosted on G2.com.

What I like best about SAS Visual Forecasting is its powerful and intuitive interface that simplifies complex forecasting processes. The advanced machine learning algorithms and automation capabilities allow for accurate and efficient forecasting, even with large datasets. Additionally, the ability to easily visualize and interpret results helps in making informed business decisions. Review collected by and hosted on G2.com.

One aspect I dislike about SAS Visual Forecasting is its sometimes steep learning curve for new users. The advanced features and extensive customization options can be overwhelming, requiring significant time and effort to master. Additionally, the software can be resource-intensive, potentially leading to performance issues when handling very large datasets or complex models. The cost of licensing and maintaining SAS Visual Forecasting can also be prohibitive for smaller organizations. Review collected by and hosted on G2.com.

Simple UI, easy to use for beginner to select dataset, select target, and predictors, and remove parameter unwanted. Built-in seasonality UI, including international calendar (though not all country was covered). Ability to select various forecasting models. There is macroeconomy feature with additional license. Review collected by and hosted on G2.com.

The forecast accuracy result of just using the visual interface is considered as standard in the market. In the end for serious demand forecast use cast that needs more accuracy, it will need specialized and deep understanding how the formula works, and go deeper into coding to improve the result. Review collected by and hosted on G2.com.

The platform’s ability to automate the forecasting process saves a significant amount of time, allowing our team to focus on analyzing the results and making data-driven decisions. The flexibility to use both pre-built models and custom code for more complex scenarios is another huge advantage. Additionally, the intuitive interface makes it easy to visualize trends and patterns, even for those without a deep statistical background. Overall, SAS Visual Forecasting has greatly improved our efficiency and forecasting accuracy. Review collected by and hosted on G2.com.

Customer support is a bit lagging. They should work on the support. Review collected by and hosted on G2.com.

Integration of various advanced features into a single interface really made the user friendly which has greatly effected the user time utillisation. Review collected by and hosted on G2.com.

More illustrative user support about the features and options available Review collected by and hosted on G2.com.

The charts and AI generated analytics are incredibly accurate. I have checked many of the things that I've been given in chart/graph form and there have been zero errors. Not only is the platform "smart", but it's intuitive and very user friendly! Set up is quick and easy, integration was flawless. Customer service is top-notch! I use this platform many times per day! Review collected by and hosted on G2.com.

I've not come across any downsides or dislikes for this platform at all. Review collected by and hosted on G2.com.

The tools check if the time series data is correct, if not it can create, for example, new records when we are missing dates (records). Smart imputation of missing values (using prediction). Sas Model Studio creates a good pipeline, where you have a good overview and it is flexible to do tailor-made stuff (like deep learning or implementing open source). I always follow a dataops/modelops approach and I can do that easily with Sas Visual Forecasting. I have control of the whole analytical lifecycle. It is easy to show the results of the forecasting in reports (Sas Visual Analytics). It is scalable. We are able to produce millions of forecast models each day, Sas Viya Cas engine can handle that easily. Good documentation. Review collected by and hosted on G2.com.

There is not so much community/knowledge available about Sas Visual Forecasting as in open source. Not so many examples available for implementing open source in Sas Visual Forecasting. Review collected by and hosted on G2.com.