SAS Business Intelligence 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.

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.

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.

Its point to click feature is very usefull. Its easy to understand for new begineer. Review collected by and hosted on G2.com.

some of the point to click menthod are too long instead of programming 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.

SAS Enterprise Guide is one of the best statistical tool in the market for data analysis, predictive analysis and generating reports. We can easily do the data analysis with its in built procedure like PROC FREQ, PROC MEANS etc. We can also use its PROC logistic procedure for doing predictive analysis. It has strong community and customer support . Review collected by and hosted on G2.com.

Nothing dislike about this product but yeah it is costly when we compared with open source Python and R which is used for same purpose like machine learning . But SAS Enterprise provides you great data secuirty which lacks in python and R. Review collected by and hosted on G2.com.

It engages us rapidly and eats up huge volumes of data over many events. Too, the program gives an easy-to-use client interface and dashboard customization. It enables you to have reports that are both consultable and centered on. Without question, the organization is strong and able to supervise challenging employment with ease. At long last, on the off chance that you are a going-by client, making reports from information 3d shapes is user-friendly. It is an amazing tool for frequent use and can be implemented easily with great customer service. Review collected by and hosted on G2.com.

The way the reports appear is one locale that needs work. The information originator gadget computer program will be helped. Data compatibility issues as regularly as conceivable happen amid integration, and they can be challenging to resolve. Unused releases arrive as well, and competitors like Scene are making speedy propels. Review collected by and hosted on G2.com.

SAS EG offers a lot of built in tasks that can help new developpers get arround. It also provide actual code nodes for experienced developpers that wish to use their own code as well. Exporting the process outside as a SAS code or into scheduled tasks is something easy to do. Review collected by and hosted on G2.com.

The older versions have a little bit of slow times when accessing the SAS metadata and connecting to external databases (under SAS 9). Review collected by and hosted on G2.com.

The ease of using and options to create 'n' no of charts with excellent data visualization and easy to comprehend charts and patterns.

SAS BI can be easily integrated with existing ERP or any application for the data source and the charts can be prepared as per the user convenience.

The platform is very easy to train users for the visualization and interpretation of the charts and data for best decision making.

It works at par with huge data loads and does not take much time to load the data or refresh the pattern.

The one thing I liked the most about SAS BI was to get the clear pattern and visibility for various KPI's(Key performance Indicators) that was easy to comprehend to multiple stakeholders even if you are not familiar with daily businesses.

We can make a scrum run for the charts/data source, do the validation and make corrections

to reduce time of implementation. Review collected by and hosted on G2.com.

There were certain chart types that were not available when I was using it. For eg. (Donut chart/Half donut chart for a certain KPI would have given a better clarity to users).

It was also difficult to configure 'toggle' switches for increase or decrease the date or data range for a period of time.

The refresh of data should take lesser time. It was taking more than expected time for a certain load of data, for which, similar competitive platforms were taking lesser time.

Apart from these technical challenges, I did not find anything difficult in the usage of SAS BI platform. Review collected by and hosted on G2.com.

At the heart of my positive experience is the tool's intuitive drag-and-drop functionality, a real game-changer in the world of data analysis. Crafting comprehensive views and extracting meaningful insights has never been easier. SAS BI's seamless integration with various data sources ensures a holistic understanding of our business operations, fostering a deeper connection with the data.

One standout feature that has consistently elevated my reporting game is the diverse range of visualization options. The array of graphs and charts not only enhances the aesthetic appeal of presentations but also serves as a powerful means of conveying complex data to stakeholders in a digestible format. This visual storytelling capability has significantly contributed to more impactful and informed decision-making processes within our organization.

In my day-to-day operations, I predominantly leverage the BI dashboard and Web Report Studio. These tools, in particular, have become indispensable in my quest to create insightful and visually appealing dashboards. The seamless synergy between these components allows for a fluid transition from data preparation to the presentation phase, streamlining the entire analytical process.

Overall, it's powerful, effective and easy to use. Review collected by and hosted on G2.com.

In my experience as a business analyst working with SAS Business Intelligence, one aspect that I find to be less helpful is the initial learning curve for users who are not well-versed in statistical or programming concepts. While the drag-and-drop feature is user-friendly and facilitates basic reporting, diving into the more advanced functionalities can be challenging for those without a strong background in these areas.

The tool's power lies in its ability to conduct complex analyses, predictive modeling, and machine learning. However, for users who are not accustomed to these advanced features, there is a noticeable hurdle in fully harnessing the tool's capabilities. This can result in a longer adaptation period and may require additional training for team members who are less experienced in statistical methods.

Also, I have experienced slower processing time for larger datasets which I would consider as a downside. Review collected by and hosted on G2.com.