SAS Data Science Programming Reviews

Its Fast advanced analytics cloud based platform . the best thing about SAS Viya is single platform which consist all the analytics tools like Data preparation , exploration, cleaninig, building models, flows , Dashboard and many more. in SAS Viya

we can use any language to build models and it has drag and frop option to build models also.

for creating reports or dashboard SAS Viya has automated insights options. it is the fastest platform from SAS. Review collected by and hosted on G2.com.

As SAS Created Viya which will now replace the existing SAS 9.4 , so 9.4 clients struggle to learn or to integrate this tool SAS Viya.

SAS Viya is new so there are few specialised only who can give support to new clients. 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.

Sas Viya is a cloud based which helps to store manage large number of data seemlessly the best part is you can easyly access data,build models ,user friendly interface easy to learn and use the person with knowledege of base sas can also work with sas viya easly just need to gain some knowlede about the cas servers which is completely cloud based no loss of data even if you get disconnected . Creating ID is much more easies and faster in SAS viya Model manger under sas viya helps to deploy models ,and genarate alerts ,sas studio which works for both the cas server and compute server so we get everything under one UI Review collected by and hosted on G2.com.

not much to dislike just some of the content from sas (.4 are not easly accessbile in sas viya 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.

1. Easy data mining and data preparation

2. Ease of use in terms of statistical analysis and understanding behavioral patterns

3. integration of legacy SQL helps experienced individuals to come to the platform and use it Review collected by and hosted on G2.com.

More focus on low code no code approach, to encourage pure business users to start using the platform Review collected by and hosted on G2.com.

Data Integration : SAS/ACCESS provides seamless integration with Oracle, MS SQL and Hadoop

Ease of Use : With SAS/ACCESS, users can use familiar SAS procedures and functions to access and manipulate data, regardless of where the data is stored.

Data Consistency: SAS/ACCESS ensures that data is consistent and reliable, regardless of the data source. Review collected by and hosted on G2.com.

The implementation to integrate with MongoDB and Hadoop is not straight forward. It puts dependency on SAS Admin and normal developers cannot integrate it. Review collected by and hosted on G2.com.