SAS Visual Data Science Decisioning Reviews

Streams real time data with high efficiency and great speed. Incorporates multiple databases to help achieve required targets. The thing that i like about it is that the software is able to integrate multiple data streams into itself, creatiing a community for the people to work upon. Review collected by and hosted on G2.com.

The support and feedback community is limited in size. There are not much resources to gather information from. Data streaming sometime creates an issue due to large volume of data flowing through it, making the software a bit slow to work upon. Review collected by and hosted on G2.com.

SAS event stream processing helps to filter and standardise big data for efficient storage and thus saving huge computation resources. The thing that I like about it is that it's high computation speed reduces the workload and presents the analytics for further data insights. Review collected by and hosted on G2.com.

Everything is perfect except there are a few glitches in the overall system thus making the software quite tedious to work upon. The system slows down when there is heavy traffic on the server. Review collected by and hosted on G2.com.

It has the ability to handle and monitor real time monitor streams. It makes it easier to combine and analyse different data sources making it highly flexible. It involves minimal coding creating multiple processing logics with ease. Review collected by and hosted on G2.com.

Since it involves multiple data sources, integration with the system is not that efficient. Sometime, It takes a longer duration to run the code when there is a heavy load on the software. It can be very frustrating when you are stringent with deadlines. Review collected by and hosted on G2.com.

What stands out about SAS/QC is its robust suite of tools for quality control and improvement. It offers powerful statistical techniques and visualization capabilities, making it easier to analyze data and identify trends Review collected by and hosted on G2.com.

One thing I find a bit challenging about SAS/QC is the learning curve; it can feel pretty steep for newcomers. The interface, while functional, isn't always the most intuitive compared to some other tools out there. Review collected by and hosted on G2.com.

It can efficiently handle large dataset for large scale time series forecasting significatly reducing time for modeling,significatly reducing model devlopment efforts.

Its also scalable and easy to integrate with other sas tools,making it more powerful for an organisation. 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.

SAS/ACCESS not only act as a medium to connect to the Database and other filesystem and perform Data analysis for better decisions. It can transfer the data between different filesystem faster.

SAS has only two datatype Char and Num. But when loading the data to the DB SAS/ACCESS handles the data conversion smothly.

SAS customer support is always faster in responding to any query.

Easy to configure, connect and access. Review collected by and hosted on G2.com.

Connection to some unpopular database might sometimes be difficult as Data connection settings can vary of DB to DB and filesystem and need to learn filesystem specific settings to enable them in SAS. 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.

SAS data preparation in an upgraded version for Infrastructure and processig where we can find a some functionality of SAS DI ETL and maximum of SAS data flux studio functionality. Easy to perform Data quality task by just drag and drop method.

we can create a standard template and run as job in daily or timely basis.

Easy to connect with multiple data source and perform the Quality check and cleaning.

This tool can be used in wide range of Data cleaning scenarios and easy to implement and apply the concept and requirements. Quick Customer support. Review collected by and hosted on G2.com.

learning of SAS data preparation is completely available in SAS Documentation but tool is not available for practicing to to support learning. But yes 14 days free trial is available for once which not sufficient to learn all the tool only we can explore with the pre-loaded datasets.

Some good functionality with is availble in Data Flux studo is not yet added here, so upgrading is not advisable and migrating the content between viya data preparation version is availble but not migration for data flux jobs to data studio plans Review collected by and hosted on G2.com.