Amazon QuickSight vs. SAS Visual Analytics

I'm likely to recommend it because it would become so native if other cloud services are based on AWS infrastructure, like our current setup. It is very seamlessly integrated with other services to feed in data for the visualization. In addition, supporting a reasonably large number of users concurrently is not an issue and should be able to scale horizontally as needed.

Incentivized

SAS Business Intelligence is more suited to organizations which are already using SAS as the primary software for their analytics needs. Learning curve is relatively shorter for teams already skilled in BASE SAS. For organizations already working with open source software like Julia and Python, it doesn't make much sense to use SAS BI.

Incentivized

• Lightweight and serverless BI tool that can be used for niche dashboards.
• Its integration into other AWS Services is one of its most appealing features.
• The low monthly cost is another benefit.

Incentivized

• SAS BI makes it very easy to create interactive dashboards even for someone who is not from an IT background. For some specific requirements, basic knowledge of SQL is good enough.
• A lot of functions have been predefined which makes it very convenient to create dashboards and reports. One doesn't need to be from an IT or a programming background to understand and create dashboards.
• It supports other programming languages like R and also has a seamless API integration with various data management platforms.

Incentivized

• One of the primary challenges I've had with Amazon QuickSight so far is that some of the reports I want to build use data from different data sets. Instead of being able to put all of the information I want to see into one report.
• Some of our Amazon QuickSight reports only update every 24 hours. It would be great to see that data in real-time.
• I would remove the various time zones from Amazon QuickSight and only use the time zone we are in.

Incentivized

• Business Objects should provide a more consistent mobile/desktop interface so operation between the two is seamless
• Business Objects needs to make it easier to query across disparate data sets such as Oracle to SQL to Mongo DB
• Our installation of Business Objects does not natively allow the export of XLSX documents, only XLS

Incentivized

There is no other product that can match SAS. There are some products that can compare to ETL but lack the analytics that SAS has. Others can perform a limited set of analytical procedures but lack the data processing that comes with SAS. Using thin client allows users to access data whenever they have an internet connection.

It is easy to use and set up no need to put in so much effort. Once build, the dashboard can be used with multiple clients with the same domain. It provides multiple connectivity options which makes it a versatile option for reporting.

Incentivized

SAS BI is good for creating reports and dashboards and then sharing it with the users. It also has ability to manage access to the reports and dashboards but somehow with most of the world moving to open source languages R, Python and Julia, SAS BI feels to be archaic in terms of feature set and integrations it allow[s]. Also, comparing it with other Business Intelligence tools like Tableau and Microsoft BI, the functionality of SAS BI is very limited and doesn't justify the pricing.

Incentivized

They provide proper support when needed. They are always ready to provide the box solution and make things easier for users.

Incentivized

When you call tech support, you are immediately routed to a person who can answer your question. Often they can answer on the spot. However, if they cannot, you are given a track number and then followed up with. There have been times when I have had multiple track numbers open and they will actually TRACK YOU DOWN to ensure that your problem has been resolved. Issues do not fall into black holes with SAS. They are also willing to do a WebEx with you to diagnose the problem by seeing your environment, which is always helpful.

As per our requirement, the Amazon Eco System leads us to use the Amazon Quick Sight platform. It works well with Redshift datasources.

Incentivized

I have chosen SAS Visual Analytics because one of my colleagues suggests using the software for the same for our work. As earlier, we use to take a lot of time in analyzing the data but after using the SAS Visual Analytics software our work has improved and time has decreased. It's very helpful for us.

Incentivized

• Cost Effective
• Easy setup and maintenance

Incentivized

• SAS Visual Analytics licensing cost should be reduced to enable users to use it in mass scale.
• More statistical and mathematical equations and theories should be converted into SAS functions for reusing.
• Because of enriched ETL and reporting capabilities SAS Visual Analytics is most preferred by business users.

Incentivized