Clear Analytics is a business intelligence solution that enables non technical end users to perform analytics by leveraging existing knowledge of Excel coupled with a built in query builder. Some key features include: Dynamic Data Refresh, Data Share and In-Excel Collaboration.
$29
Per Seat per Month
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
Clear Analytics
SAS Visual Analytics
Editions & Modules
Personal
$29
Per Seat per Month
Team
$165
upto 10 Seat per Month
Department
$265
upto 25 Seat per month
Organization
$565
Upto 100 per seat per month
SAS Visual Analytics for SAS Cloud
$0
Annual By Users: 5, 10, 20
Offerings
Pricing Offerings
Clear Analytics
SAS Visual Analytics
Free Trial
Yes
Yes
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
$800 Initial OnBoarding
No setup fee
Additional Details
Certain Enterprise level features can be made available to Small Business edition at additional cost. Such services include Scheduler and OLAP connectivity.
Custom adapters can also be created to connect to SaaS services.
SAS Visual Statistics and SAS Office Analytics are also available as add-ons.
More Pricing Information
Community Pulse
Clear Analytics
SAS Visual Analytics
Features
Clear Analytics
SAS Visual Analytics
BI Standard Reporting
Comparison of BI Standard Reporting features of Product A and Product B
Clear Analytics
9.0
Ratings
10% above category average
SAS Visual Analytics
8.3
Ratings
2% above category average
Pixel Perfect reports
9.00 Ratings
8.00 Ratings
Customizable dashboards
9.10 Ratings
8.00 Ratings
Report Formatting Templates
8.70 Ratings
9.00 Ratings
Ad-hoc Reporting
Comparison of Ad-hoc Reporting features of Product A and Product B
Clear Analytics
8.9
Ratings
10% above category average
SAS Visual Analytics
8.8
Ratings
9% above category average
Drill-down analysis
9.20 Ratings
9.00 Ratings
Formatting capabilities
8.70 Ratings
8.00 Ratings
Report sharing and collaboration
8.90 Ratings
10.00 Ratings
Integration with R or other statistical packages
00 Ratings
8.00 Ratings
Report Output and Scheduling
Comparison of Report Output and Scheduling features of Product A and Product B
Clear Analytics
9.0
Ratings
8% above category average
SAS Visual Analytics
9.2
Ratings
10% above category average
Publish to Web
9.00 Ratings
9.00 Ratings
Publish to PDF
9.10 Ratings
9.00 Ratings
Report Versioning
8.90 Ratings
9.00 Ratings
Report Delivery Scheduling
8.80 Ratings
10.00 Ratings
Delivery to Remote Servers
00 Ratings
9.00 Ratings
Data Discovery and Visualization
Comparison of Data Discovery and Visualization features of Product A and Product B
Clear Analytics has almost all the features which are mostly required by the organizations for their data analytics and transformation activities. Clear Analytics is built on the support of a parallel query engine which makes it handle large volume requests and also provides optimized results. However, every solution has some limitations, Clear Analytics lacks advanced features such as Predictive Analytics which is a very demanding feature in the market as most organizations are adopting AI/ML automation for their businesses. Also, it needs to add a lot of advanced visualizations so that the user has the choice of selection. Overall a good solution to be recommended.
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.
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.
I have really enjoyed working with Clear Analytics. This platform has contributed to increased production and reliable data control processes. It has flexible user interface that can be operated by any organization member. Reports are shared on simple and transparent way in the dashboard for easy access. Data analytics from all departments have created manageable working environment that have increased production.
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.
Clear Analytics has very good team members in Consulting as well as in Customer Support. The support agents are capable of providing the required resolution of your queries in a timeline provides. They have a clear understanding of the product and its features, and they are friendly in nature. However, for some advanced or level 2/3-based queries, they required some more time to respond, which is ok.
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.
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.