Google Charts vs. SAS Visual Analytics

Google Charts is perfectly suited for most presentations that are data oriented. There's not much of a limit on the type of table or chart you can create, and being able to integrate with Google Sheets just makes things even easier if you've already got the data stored somewhere. It works well on desktop browsers, Iphones, and Android phones. The only drawback I've been able to find is for those that prefer to have a desktop application.

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

• Google Charts is free so a terrific tool for universities and students
• Provides new users that need charts an inventory and gallery of potential charts and types to visualize data
• The software is useful to add charts and data for websites with limited effort but with success

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

• I would like a couple more introductory videos or a live chat option for when you run into an issue. I think this is a Google-wide problem, not only linked to Google Charts.
• I have run into some issues with the Dynamic Data but also admittedly could potentially dive in deeper and investigate.
• It would be great if Google Charts made it possible to integrate Google Chat into the platform.

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

Google Charts is a good product. It's widely supported with deep documentation and a large community. But for me, it wasn't customizable enough. When we started with simple charts, it was great, but as we got deeper and more complex, our needs outgrew the library. If I was going forward, I would choose a more barebones library with more freedom and extensibility.

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.

Requires knowledge of Javascript, which can be difficult for a beginner. A business analyst often isn't as technically minded as a developer so collaboration is often required to produce a correct chart for the purpose required. However, the customisation capable due to this creates much better looking charts compared to other tools.

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

Google charts is always available and provides fast output.

Connectivity is occasionally very slow.

Google Charts has a very good documentation that we can just go in there and find the stuff we need to implement our solutions on Google Charts. Plus, if we get stuck, we can also email the support and they are very responsive. So overall, the support is very satisfying.

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.

The online training was solely done through self training on google's guide to charts.

Easy to implement

In comparison to Microsoft Power BI, Google Charts has more ease of use for businesses who simply need a way to visually display their data from their reports. Although Power BI may be more robust in more complicated data compilation, Google Charts can still be able to do some of the basics that Power BI delivers.

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

Google Charts is essential for quick, easy, reporting. There are opportunities for advanced features.

• teams were easily able to create charts and find out progress on our learning courses and thus take actionable insights to their managers, professors
• students could also know their progress on various courses from one single view, same for instructors in terms of imparting education
• sales team could learn which kind of courses sold more to focus more on those areas

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