QlikView® is Qlik®’s original BI offering designed primarily for shared business intelligence reports and data visualizations. It offers guided exploration and discovery, collaborative analytics for sharing insight, and agile development and deployment.
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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.
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Pricing
QlikView
SAS Visual Analytics
Editions & Modules
QlikView
Custom
per user
SAS Visual Analytics for SAS Cloud
$0
Annual By Users: 5, 10, 20
Offerings
Pricing Offerings
QlikView
SAS Visual Analytics
Free Trial
Yes
Yes
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
Optional
No setup fee
Additional Details
On an perpetual license basis, based on server plus number of users.
Contact vendor for pricing.
SAS Visual Statistics and SAS Office Analytics are also available as add-ons.
More Pricing Information
Community Pulse
QlikView
SAS Visual Analytics
Features
QlikView
SAS Visual Analytics
BI Standard Reporting
Comparison of BI Standard Reporting features of Product A and Product B
QlikView
8.0
Ratings
2% below category average
SAS Visual Analytics
8.3
Ratings
2% above category average
Pixel Perfect reports
8.10 Ratings
8.00 Ratings
Customizable dashboards
8.00 Ratings
8.00 Ratings
Report Formatting Templates
8.00 Ratings
9.00 Ratings
Ad-hoc Reporting
Comparison of Ad-hoc Reporting features of Product A and Product B
QlikView
8.3
Ratings
3% above category average
SAS Visual Analytics
8.8
Ratings
9% above category average
Drill-down analysis
9.00 Ratings
9.00 Ratings
Formatting capabilities
7.00 Ratings
8.00 Ratings
Integration with R or other statistical packages
8.30 Ratings
8.00 Ratings
Report sharing and collaboration
9.00 Ratings
10.00 Ratings
Report Output and Scheduling
Comparison of Report Output and Scheduling features of Product A and Product B
QlikView
7.9
Ratings
5% below category average
SAS Visual Analytics
9.2
Ratings
10% above category average
Publish to Web
8.00 Ratings
9.00 Ratings
Publish to PDF
9.00 Ratings
9.00 Ratings
Report Versioning
7.50 Ratings
9.00 Ratings
Report Delivery Scheduling
7.30 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
Sales data validations have helped manage our justifications in the past, especially with regard to new product development and new business introduction. It has also been helpful in identifying trends with business impact and direction specific to quarter and monthly sales from ERP data as well as decisions to purchase equipment of staffing based on run rates and product demand.
One thing that can get out of hand is data output - if you aren't careful in your query, you may be overloaded with data dumps and drown in the amount of info you have to filter through. This is a user caution, not a comment on the software itself.
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.
We found that QlikView can be a bit slow in supporting some forms of encryption. It is web-based and we needed to upgrade all of our server to not support the older SSL and TLS 1 protocols, only support TLS 1.2 and TLS 1.3. However, QlikView could not run with TLS 1.2 and TLS 1.3. We had to wait over six months to get a version that would handle the newer TLS versions.
There are so many options with QlikView that you can get lost when developing a visualization. There are still items I have not yet figured out, such as labeling a graph with the name of a selected detail item.
QlikView works by pulling the data it is going to use for visualization into its database. I am a security reviewer and I need to make certain that PII and PHI is not pulled by QlikView for a visualization, otherwise this could become a reportable indecent.
Ease of use, ability to load from pretty much any data source. today I created an application that loaded time sheets from excel that are not in a table format. With Qlik's "enable transformation steps" I was able to automate loads of multiple spreadsheets and multiple tabs easily. Could not do that with any other tool.
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 do think there is a steep learning curve to the program and that it requires a high level of experience or a data scientist background to fully take advantage and implement dashboards, and users will require ongoing training to maximize ROI, but it is absolutely worth it considering the impact it can make on an organization.
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.
The documentation presented by QlikView is very clear and exact. This makes the process of implementation more easy. If any questions arise while creating the reports it is very easy to access the QlikView documents through the internet. QlikView also has a Qlik Community, full of different questions and answers. This helps a lot to resolve issues even without contacting the support team.
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.
My team attended, but I cannot myself rate, but I think it was good as they've successfully launched a training program at our company themselves for users. It was 3-4 day training.
Training was as expected. The demo environments tend to be more fully featured that our own environment, but the training was clear and well delivered.
It has taken some time to get used to Qlikview and the backend team behind it. From understanding the new regulations on using less images and also pushing for more tools (such as full compatibility on desktop, laptop, ipad, phone). We were given training on this and have helpful tips to find analytics behind Qlikview but it is very much also a learn as you implement system.
With QlikView and Qlik Sense the users can answer their own questions more interactively. They also can build their own visualizations without waiting [for] someone from IT to create a new report. The users can navigate through the data finding out relevant information. Through QlikView color code, users can get aware of the relationship between the different data points.
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.
Speed to market is the really big thing. You can attach to multiple data sources quickly and build a consumable model for a dashboard. It doesn’t require IT talent to build. We have built more dashboards and added more users in the last year, then in our entire history. I was at a company of 30k+ employees before, and we didn't have near this level of BI adoption.
As a result, we are seeing benefits across business function. For example, within sales, our pipeline has much more visibility. It allows for much faster decisions on things like quotas. One of our biggest power users is in sales ops. She feels her dashboards load 10x faster than our previous tool and she can make changes on the fly.