Looker Studio is a data visualization platform that transforms data into meaningful presentations and dashboards with customized reporting tools.
$9
per month per user per project
SAS Visual Analytics
Score 7.6 out of 10
Enterprise companies (1,001+ employees)
SAS Visual Analytics provides a complete platform for analytics visualization, enabling users to identify patterns and relationships in data that weren't initially evident. Interactive, self-service BI and reporting capabilities are combined with out-of-the-box advanced analytics so everyone can discover insights from any size and type of data, including text.
N/A
Pricing
Looker Studio
SAS Visual Analytics
Editions & Modules
Looker Studio Pro
$9
per month per user per project
Looker Studio
No charge
SAS Visual Analytics for SAS Cloud
$0
Annual By Users: 5, 10, 20
Offerings
Pricing Offerings
Looker Studio
SAS Visual Analytics
Free Trial
No
Yes
Free/Freemium Version
Yes
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
—
SAS Visual Statistics and SAS Office Analytics are also available as add-ons.
More Pricing Information
Community Pulse
Looker Studio
SAS Visual Analytics
Features
Looker Studio
SAS Visual Analytics
BI Standard Reporting
Comparison of BI Standard Reporting features of Product A and Product B
Looker Studio
8.0
Ratings
5% below category average
SAS Visual Analytics
8.3
Ratings
2% above category average
Pixel Perfect reports
7.00 Ratings
8.00 Ratings
Customizable dashboards
8.50 Ratings
8.00 Ratings
Report Formatting Templates
8.40 Ratings
9.00 Ratings
Ad-hoc Reporting
Comparison of Ad-hoc Reporting features of Product A and Product B
Looker Studio
7.6
Ratings
5% below category average
SAS Visual Analytics
8.8
Ratings
9% above category average
Drill-down analysis
9.50 Ratings
9.00 Ratings
Formatting capabilities
8.00 Ratings
8.00 Ratings
Integration with R or other statistical packages
4.00 Ratings
8.00 Ratings
Report sharing and collaboration
8.90 Ratings
10.00 Ratings
Report Output and Scheduling
Comparison of Report Output and Scheduling features of Product A and Product B
Looker Studio
8.2
Ratings
3% below category average
SAS Visual Analytics
9.2
Ratings
10% above category average
Publish to Web
7.50 Ratings
9.00 Ratings
Publish to PDF
9.40 Ratings
9.00 Ratings
Report Versioning
8.00 Ratings
9.00 Ratings
Report Delivery Scheduling
7.40 Ratings
10.00 Ratings
Delivery to Remote Servers
8.80 Ratings
9.00 Ratings
Data Discovery and Visualization
Comparison of Data Discovery and Visualization features of Product A and Product B
Does great at open canvas editing and letting you fully customize without the need for a grid. It is democratizing self-service no-code analytics. You do not need to be a data or analytics engineer to get started, and you can go very far based on how intuitive and straightforward the UI is. Some of the biggest challenges with Looker Studio relate to user management/security, embedding options, and issue support. For a long time, every user needed to have a Gmail to invite them to view a dashboard via login, not sure if that has been improved yet. You can let any user view without logging in, but that is not always recommended due to security reasons. In terms of embedding, you can only iframe dashboards. More sophisticated BI tools let you embed elements via API or Javascript. Iframing dashboards also make drill downs and dashboard to dashboard navigation tricky/near impossible. There is also no ability to contact Google for support when bugs or outages happen. They point everyone to the Data Studio community. There is some ability to get in contact with Google if you have an enterprise-level contract with Google Cloud, but the path for support is very ad hoc and not always fruitful.
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.
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.
It is the simplest and least expensive way for us to automate our reporting at this time. I like the ability to customize literally everything about each report, and the ability to send out reports automatically in emails. The only issue we have been having recently is a technical glitch in the automatic email report. Sadly, there is almost no support for this tool from Google, but is also free, so that is important to take into consideration
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 not ideal and requires time and dedication to understand how to work with it. Also, it has a lot of limitations around data it can accept. But in most cases, this tool is sufficient for everyday tasks of product and marketing departments. I wouldn't say that the interface is very user-friendly, but for people who regularly work with analytical tools, it must be ok.
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.
I give it a lower support rating because it seems like our Dev team hasn't gotten the support they need to set up our database to connect. Seems like we hit a roadblock and the project got put on pause for dev. That sucks for me because it is harder to get the dev team to focus on it if they don't get the help they need to set it up.
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.
Looker Studio is far easier to implement, stand up, and learn. The interface is simpler and user-friendly for various levels of data visualization/analysis knowledge and experience. The biggest benefit of Looker Studio, however, is its ease of connection to GA data and speed. Furthermore, since it is an online program/tool, it requires less CPU/battery/storage on the user's device.
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.