SAS Visual Analytics and Qlik Sense compete in the data analytics and business intelligence category. While SAS offers strong statistical analysis integration, Qlik Sense's user-friendly interface and self-service capabilities give it an edge in accessibility and ease of data exploration.
Features: SAS Visual Analytics provides robust statistical analysis, machine learning integration, and advanced data visualization capabilities. It is favored for its credibility in handling large datasets. Qlik Sense offers intuitive drag-and-drop interfaces, an associative data model, and excels in self-service BI, enabling users of varying technical skills to derive insights quickly.
Room for Improvement: SAS Visual Analytics can improve in cost structure, installation complexity, and the flexibility of forecasting tools. Users often seek better data management capabilities. Qlik Sense could enhance its error handling, customization options, and integration with external tools. Improved ETL capabilities and a more straightforward scripting language are also desirable.
Ease of Deployment and Customer Service: SAS Visual Analytics supports on-premises and cloud deployments but shows varying customer service feedback. Technical support experiences are inconsistent. Qlik Sense is predominantly on-premises with some private cloud use and receives positive reviews for responsive technical support.
Pricing and ROI: SAS Visual Analytics tends to be expensive, with costs increasing due to additional components and licensing complexity, appealing mainly to large enterprises. Qlik Sense offers competitive and flexible pricing suitable for scaling enterprises, providing rapid ROI through its efficient analytics tools.
In my organization, we moved from OBI to Qlik Sense due to limitations with OBI, resulting in very high ROI.
While tech support is comprehensive, the stability of Qlik Sense means I generally do not need it.
In Turkey, the consultant firms are very professional, and they support you.
I think they lack in the support system.
It performs well in terms of performance and load compared to others.
I believe it is easily scalable.
The stability is very good.
Power BI has better visualizations and interactions with updates in 2023 that provide ease of use.
Providing an API feature to access data from the dashboard or QEDs could be beneficial.
Maybe more AI or real-time analytics could be incorporated.
Compared to Power BI, it is definitely costly.
Among the BI tools and data analytics tools, Qlik is the most expensive.
For small or large organizations needing many or few licenses, pricing varies.
From an end-user perspective, it's convenient and performance-oriented, providing something meaningful from all the organization's data.
It is a single product that I can use as an ETL database, BI, and more.
It has an interactive interface with Qlik graphs, pivot, and interactivity, which makes it easier to use than other tools.
Qlik Sense is a visual analytics and business intelligence (BI) platform that gives users full control over their system’s data. From this platform they can control every aspect of their system data. It maximizes an organization’s ability to make decisions driven by their data.
Benefits of Qlik Sense
Some of the benefits of using Qlik Sense include:
Reviews from Real Users
Qlik Sense stands out among its competitors for a number of reasons. Two major ones are its associative analytics technology and its remote access capability. Qlik Sense employs an associative analytics engine that gives users the ability to take their data analytics to the next level. Users can create visual connections between different datasets spread across their network, creating deep insights that enable users to gain a full understanding of their data. This engine is easily scaled up to allow a large number of users to benefit from the deep insights that it provides. Users can access Qlik Sense from anywhere in the world. Qlik Sense has an online portal that can be used consistently from anywhere at all. Having the ability to remotely analyze data gives users flexibility when it comes to choosing how to deploy their manpower.
Jarno L., the managing director of B2IT, writes, “The associative technology features are the solution's most valuable aspects. Qlik was the first company to implement an in-memory associative analytics engine. This basically means that all data is loaded into memory, but it also means that instead of joining data together, the data is associated together. From the front end, from the user interface point of view, data can be joined or included or excluded on the fly. It can be drilled down and drilled through and users can slice and dice it and that type of thing can be done from anywhere in the data to any other place in the data. It doesn't have to be predefined. It doesn't have to have hierarchies or anything like that.”
Tami S., the senior business intelligence analyst at the La Jolla Group, writes, “With the changing business landscape, it is nice to access Qlik Sense through an external website. As an organization when we use QlikView Desktop, we need to connect to our internal network. We can access QlikView through the QlikView access point but the website has a little different look and feel than the desktop application. We appreciate that Qlik Sense is browser-based and the user experience is the same whether at home, in the office or on a boat. As long as the user has internet access, performance is the same.”
SAS Visual Analytics is a data visualization tool that is used for reporting, data exploration, and analytics. The solution enables users - even those without advanced analytical skills - to understand and examine patterns, trends, and relationships in data. SAS Visual Analytics makes it easy to create and share reports and dashboards that monitor business performance. By using the solution, users can handle, understand, and analyze their data in both past and present fields, as well as influence vital factors for future changes. SAS Visual Analytics is most suitable for larger companies with complex needs.
SAS Visual Analytics Features
SAS Visual Analytics has many valuable key features. Some of the most useful ones include:
SAS Visual Analytics Benefits
There are many benefits to implementing SAS Visual Analytics. Some of the biggest advantages the solution offers include:
Reviews from Real Users
Below are some reviews and helpful feedback written by PeerSpot users currently using the SAS Visual Analytics solution.
A Senior Manager at a consultancy says, “The solution is very stable. The scalability is good. The usability is quite good. It's quite easy to learn and to progress with SAS from an end-user perspective.
PeerSpot user Robert H., Co-owner at Hecht und Heck GmbH, comments, “What I really love about the software is that I have never struggled in implementing it for complex business requirements. It is good for highly sophisticated and specialized statistics in the areas that some people tend to call artificial intelligence. It is used for everything that involves visual presentation and analysis of highly sophisticated statistics for forecasting and other purposes.
Andrea D., Chief Technical Officer at Value Partners, explains, “The best feature is that SAS is not a single BI tool. Rather, it is part of an ecosystem of tools, such as tools that help a user to develop artificial intelligence, algorithms, and so on. SAS is an ecosystem. It's an ecosystem of products. We've found the product to be stable and reliable. The scalability is good.”
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