Synergies is a cognitive application service provider that combines business knowledge, artificial intelligence technology, and software development. Their mission is to help businesses through their digital transformation journey, become leaders and innovators in their industries by unlocking the power of data in the hands of business users and decision makers. Their product, JarviX, is an AnalyticOps Platform . JarviX uses NLP…
N/A
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
JarviX
SAS Visual Analytics
Editions & Modules
No answers on this topic
SAS Visual Analytics for SAS Cloud
$0
Annual By Users: 5, 10, 20
Offerings
Pricing Offerings
JarviX
SAS Visual Analytics
Free Trial
No
Yes
Free/Freemium Version
No
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
JarviX
SAS Visual Analytics
Features
JarviX
SAS Visual Analytics
BI Standard Reporting
Comparison of BI Standard Reporting features of Product A and Product B
JarviX
7.6
Ratings
7% below category average
SAS Visual Analytics
8.3
Ratings
2% above category average
Pixel Perfect reports
8.20 Ratings
8.00 Ratings
Customizable dashboards
7.30 Ratings
8.00 Ratings
Report Formatting Templates
7.30 Ratings
9.00 Ratings
Ad-hoc Reporting
Comparison of Ad-hoc Reporting features of Product A and Product B
JarviX
7.8
Ratings
3% below category average
SAS Visual Analytics
8.8
Ratings
9% above category average
Drill-down analysis
7.10 Ratings
9.00 Ratings
Formatting capabilities
7.30 Ratings
8.00 Ratings
Integration with R or other statistical packages
9.10 Ratings
8.00 Ratings
Report sharing and collaboration
7.70 Ratings
10.00 Ratings
Report Output and Scheduling
Comparison of Report Output and Scheduling features of Product A and Product B
JarviX
7.8
Ratings
6% below category average
SAS Visual Analytics
9.2
Ratings
10% above category average
Publish to Web
9.10 Ratings
9.00 Ratings
Publish to PDF
7.30 Ratings
9.00 Ratings
Report Versioning
6.40 Ratings
9.00 Ratings
Report Delivery Scheduling
8.20 Ratings
10.00 Ratings
Delivery to Remote Servers
8.20 Ratings
9.00 Ratings
Data Discovery and Visualization
Comparison of Data Discovery and Visualization features of Product A and Product B
For users with little data analytics knowledge, JarviX is the perfect tool to get started where there are fewer resources to build a data team but requires data to improve and innovate.
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 should be more flexibility in changing the data tables uploaded into JarviX. For example, it should enable users to edit the syntax of the table or change the data format of the columns without affecting the existing dashboard and charts already created using that data table.
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.
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.
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.
In comparison to JarviX, Power BI offers a lot of customization for reporting purposes. However, JarviX has the advantage of saving time and built-in algorithmic analyses that integrate data visualization. JarviX’s also has a huge advantage in its natural language query function, which is very intuitive and sets a low barrier for entry-level users across our organization.
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.
I think the best part of JarviX is that we can get the analysis results in several minutes. We spent lots of time making reports and managing our data in the past. All in all, it helps us save the time, cost, and labor of managing data.