SPSS Statistics is a software package used for statistical analysis. It is now officially named "IBM SPSS Statistics". Companion products in the same family are used for survey authoring and deployment (IBM SPSS Data Collection), data mining (IBM SPSS Modeler), text analytics, and collaboration and deployment (batch and automated scoring services).
$105
per month per user
Qlik Cloud Analytics (Qlik Sense)
Score 8.3 out of 10
N/A
Qlik Sense® is a self-service BI platform for data discovery and visualization. It supports a full range of analytics use cases—data governance, pixel-perfect reporting, and collaboration. Its Associative Engine indexes and connects relationships between data points for creating actionable insights.
$200
per month
SAP Analytics Cloud
Score 8.2 out of 10
N/A
The SAP Analytics Cloud solution brings together analytics and planning with integration to SAP applications and access to heterogenous data sources. As the analytics and planning solution within SAP Business Technology Platform, SAP Analytics Cloud supports trusted insights and integrated planning processes enterprise-wide to help make decisions without doubt.
$36
per month per user
Pricing
IBM SPSS Statistics
Qlik Cloud Analytics (Qlik Sense)
SAP Analytics Cloud
Editions & Modules
Base
USD 3,830
one-time fee per user
Standard
USD 8,440
one-time fee per user
Professional
USD 16,900
one-time fee per user
Premium
USD 25,200
one-time fee per user
Monthly subscription
USD 105
per month per user
Annual subscription
USD 1,188.00
per year per user
Starter
$200
per month
Standard
$825
per month
Premium
$2750
per month
Qlik Sense (On-Premise)
Contact Sales
SAP Analytics Cloud for Business Intelligence
$36.00
per month per user
SAP Analytics Cloud for Planning
Price upon request
per month per user
Offerings
Pricing Offerings
IBM SPSS Statistics
Qlik Cloud Analytics (Qlik Sense)
SAP Analytics Cloud
Free Trial
Yes
No
Yes
Free/Freemium Version
No
No
No
Premium Consulting/Integration Services
No
Yes
No
Entry-level Setup Fee
No setup fee
No setup fee
No setup fee
Additional Details
—
—
A 30-day trial with SAP Analytics Cloud is available, supporting analytics enterprise-wide. A trial can be extended up to 90 days on request.
Other vendors products evaluated (in some cases used by other divisions within our corporation): ** SAP Analytics Cloud - stacks up quite well against Qlik Sense but the differences are subtle but important. Sometimes SAC has it over Qlik and sometimes Qlik has it over SAC so …
Qlik Sense can easily integrate multiple data models to
visualize customer data. Tableau is easy to use—perhaps more manageable than Qlik—but
expensive. Microsoft BI was chosen because it was similar to previously used
Verified User
Team Lead
Chose Qlik Cloud Analytics (Qlik Sense)
Tableau is too expensive. Microsoft BI is what we might switch to in terms of our department's skill set, available (free) training resources through forums and youtube, and pricepoint for a nonprofit.
I have worked on IBM Cognos , Power BI for reporting and Dashboards in different organisations.
I can say the Cognos is for standard reporting with inbuilt scheduling and mail delivery services, Power BI is a bit more user friendly unlike Cognos and QlikSense.
Qlik Sense was more fully-featured and scaled better on price. The ability to customize and extend functionality is helpful to tweak the product for our specific needs. It has truly helped scale our user community and their maturity/ability to do more with data without also …
Compared to the other three products, the data prep and mobile BI are two areas that we see Qlik stands out and that is why we designated the Qlik use cases.
Compared to Qlik Sense, I enjoy the functionality and feel of SAP Analytics cloud much better. The addition of the smart insights within SAP Analytics Cloud helps to identify root cause issues much quicker than the Qlik product. Additionally, with end-user deployment, SAP …
Qlik Sense is too expensive, much more complicated to use for users (especially new variables or other complex calculations) and requires you to buy too many extra functionalities to have the same options as SAP Analytics Cloud can offer.
SAP Analytics Cloud runs jobs and provides reports quickly. Other competitors take more time to generate [the] same reports with similar logic. The visualization features in SAP Analytics Cloud are superior when compared to Qlik Sense. In areas like DevOps, this gives a …
True SaaS solution built from ground level up. Ability to combine planning, BI and predictive functions in one tool. Digital boardroom add-on that truly impresses the business leaders and users.
Integration with SAP is the key feature to go for SAC with perks of SAP IQ etc offered from SAP. Usability is quite eased in SAC - makes it easy for users to use and develop their own dashboarding. Cloud is one more feature which enables to the cloud world from SAP and probable …
The two products, SAP Analytics Cloud and Microsoft PowerBI, are very similar data presentation tools. The strength of SAC SAP Analytics Cloud is in direct connections when the sources are SAP. On the other hand, Microsoft PowerBI, in its version, has strong integration with …
SAC is a full-featured analytics platform, it offers AP, CPM and PA unlike Tableau which doesn’t encompass corporate performance management tools.
Verified User
Analyst
Chose SAP Analytics Cloud
Power BI has some unique selling features like bookmarks and DAX functionality. However, a lot of emphasis has to be given to data security and authorization. One has to manually enable row-based authorization or model-based authorization to share a lot of confidential data, …
Adopted SAP Analytics Cloud with simple and rapid implementation in two months, three times faster than other competitive solutions. The business intelligence software had the ability to rapidly collect, better organize and manage great quantities of data in real-time, and …
This platform is powered by artificial intelligence and helps businesses of all types explore what-if possibilities based on historical data so that they make decisions with confidence.
For its current market maturity, SAC stacks up well against its competitors. There may be specific use cases for certain planning/analytic scenarios where it still lacks the functionality but generally speaking it is already a good reporting tool. SAC can still improve when it …
The solution very powerful, very interactive, designer is very good. Features like linked analysis, hierarchies are vey useful while analysing the data. The data wrangling options available in SAP Analytics cloud are also very powerful and they have very rich set of functions …
This tool does not match up to its competitors like microstrategy and Tableau when it comes to data visualization. It takes more time and effort creating dashboards and building schema objects in this tool. It is not as easy to learn as other competitive tools. Implementation …
In this particular case, the choice did not depend on my opinion as I was collaborating throughout the process. Their choice was primarily guided by the fact that the company we were advising was already on the SAP platform so Analytics Cloud was directly linked, thanks to the …
SPSS's ability to deal with things like survey verbatims is a significant competitive disadvantage. The ability to do most of what researchers do without having to learn to program (think R or Python) is the primary advantage SPSS brings to bear.
Qlik Sense is a program whose purpose is to greatly improve all your operations and use of all data in an organic way. The mission will always be to increase the economic and commercial processes of the company in a short time. I recommended it for its high technology, which was Created for this area, the results are successful. We have noticed how it has increased relationships with our clients thanks to the credibility and security that we provide.
>> Using SAC predictive analytics capabilities for inventory management in a Production line setup has helped generate Purchase Requisitions and Purchase Orders for raw or semi-finished goods without much head-banging into Demand management rules. It does it beautifully with seamless integration with HANA core MM and PP modules, along with BI integration. It has resulted in 30% greater warehouse storage capacity, thereby saving revenue from piled-up inventory and associated manpower costs. >> SAC sometimes shows latency in working out a large data set, thus giving a poor user experience compared to its competition. Also, it may occasionally show misinterpretations when embedding data from 3rd-party systems into the HANA core dataset.
SPSS has been around for quite a while and has amassed a large suite of functionality. One of its longest-running features is the ability to automate SPSS via scripting, AKA "syntax." There is a very large community of practice on the internet who can help newbies to quickly scale up their automation abilities with SPSS. And SPSS allows users to save syntax scripting directly from GUI wizards and configuration windows, which can be a real life-saver if one is not an experienced coder.
Many statistics package users are doing scientific research with an eye to publish reproducible results. SPSS allows you to save datasets and syntax scripting in a common format, facilitating attempts by peer reviewers and other researchers to quickly and easily attempt to reproduce your results. It's very portable!
SPSS has both legacy and modern visualization suites baked into the base software, giving users an easily mountable learning curve when it comes to outputting charts and graphs. It's very easy to start with a canned look and feel of an exported chart, and then you can tweak a saved copy to change just about everything, from colors, legends, and axis scaling, to orientation, labels, and grid lines. And when you've got a chart or graph set up the way you like, you can export it as an image file, or create a template syntax to apply to new visualizations going forward.
SPSS makes it easy for even beginner-level users to create statistical coding fields to support multidimensional analysis, ensuring that you never need to destructively modify your dataset.
In closing, SPSS's long and successful tenure ensures that just about any question a new user may have about it can be answered with a modicum of Google-fu. There are even several fully-fledged tutorial websites out there for newbie perusal.
It makes it easier yo analyse order and related records easily.
We can easily maintain and track the performance of employees in organisation.
Can easily track various aspects for the growth of an organisation thus allowing real time analysis and tracking of organisation's growth and performance.
collaboration - SPSS lacks collaboration features which makes it near impossible to collaborate with my team on analysis. We have to send files back and forth, which is tedious.
integration - I wish SPSS had integration capabilities with some of the other tools that I use (e.g., Airtable, Figma, etc.)
user interface - this could definitely be modernized. In my experience, the UI is clunky and feels dated, which can negatively impact my experience using the tool.
SAC supports various data sources, but improvements in the ease of connecting to and integrating with certain data repositories, especially non-SAP databases, would enhance the platform's versatility and integration capabilities.
An offline mode for SAC could be valuable for users who need to access and analyze data without an internet connection. Additionally, optimizing performance for large datasets and complex visualizations would contribute to a smoother user experience.
Both money and time are essential for success in terms of return on investment for any kind of research based project work. Using a Likert-scale questionnaire is very easy for data entry and analysis using IBM SPSS. With the help of IBM SPSS, I found very fast and reliable data entry and data analysis for my research. Output from SPSS is very easy to interpret for data analysis and findings
Qlik Sense is a constantly improving it's software and working with its' users to make it better. They are great at keeping their users informed of progress and care about delivering a quality product
We are planning to review the licensing as we have issues with SAC dealing with huge datasets. Analytics area is good for import models but when we have live connections in place that's when we have issue with SAC dealing with huge datasets in live be it BW or be it HANA models in the backend.
Probably because I have been using it for so long that I have used all of the modules, or at least almost all of the modules, and the way SPSS works is second nature to me, like fish to swimming.
Qlik Sense has a better and easy to learn user interface compared with other analytics tool which always help us to create regular and adhoc reports within the stipulated time frame and can be easily refreshed at a scheduled time and sent to multiple stakeholders for timely update regarding the Key metrics indicator.
On a scale of 1 to 10, I would rate 8 SAP Analytics Cloud's overall usability as a 7. SAC has a clean, modern user interface with drag-and-drop features. It is an integrated platform that combines reporting, planning, and predictive analytics in one tool. It has Real-time connectivity with SAP data sources like S/4HANA.
Self-service analytics capabilities allow non-technical users to build simple dashboards.
I would rate SAP Analytics Cloud an 8 out of 10 for scalability. It offers a flexible, cloud-based architecture that supports expansion across departments and geographies. The platform adapts well to growing data volumes and user needs, making it a strong choice for organizations looking to scale analytics capabilities efficiently.
I would rate SAP Analytics Cloud’s performance an 8 out of 10. Pages generally load quickly, and reports run within a reasonable time frame, even with complex datasets. Integration with other systems is smooth and doesn’t noticeably affect performance. Overall, it’s a responsive and efficient tool for business analytics. But
I have not contacted IBM SPSS for support myself. However, our IT staff has for trying to get SPSS Text Analytics Module to work. The issue was never resolved, but I'm not sure if it was on the IT's end or on SPSS's end
Qlik is great for companies with lots of business domains and departments because it scales well, especially if data that is reported is saved in SQL and similar structures. Its ease of use and good UI enables business units to create and manage their own reports. That removes a great burden of creating and managing/modifying these pages from the IT team. Overall, it's a win-win for both IT and business units.
Since the implementation stage, the support team has been very helpful and assisting. Even in the later stages, the tech team had quite a rapid response. In general, SAP has provided us with great customer support, let it be for a specific product of SAP or for integration of different modules.
In hindsight, it would have been easier to have someone there in person. Questions were answered, but with 11 participants, it got a bit chaotic online
Have a plan for managing the yearly upgrade cycle. Most users work in the desktop version, so there needs to be a mechanism for either pushing out new versions of the software or a key manager to deal with updated licensing keys. If you have a lot of users this needs to be planned for in advance.
SAC is a simple solution ad it works fine when connecting it to other SAP tools. On the other hand, connecting it to third party solutions brings difficulties when there's no previous design and the objetives are not clear. It is really important to integrate Business users from the start to provide with valuable business insights
If you have made it this far, you should have a very good idea of how SPSS stacks up the competition (data processing and analytics tools). Even the free ones, such as r Studio or Stata, are leaps and bounds ahead of SPSS. IBM is resting on a reputation developed nearly 30 years ago and has shown no desire to improve.
The customization of the platform opens up plenty of other options depending on the use cases. The API layer is incredibly rich and makes integration of Qlik based visualization into web pages a simple and effective pattern. It's been very easy to use with a great community made up of professionals. Qlik Sense has introduces artificial Intelligence into my data visualization and reporting activity.
SAP Analytics Cloud and Power BI are both tools that help businesses understand their data, but they have some differences. SAC, made by SAP, works well if your company already uses other SAP products. It's in the cloud, easy to use, and has features for analyzing data, getting insights, and planning for the future. Power BI, made by Microsoft, can be used in the cloud or on your own computers. It fits well with Microsoft tools, is easy to use, and can do advanced data analysis. SAC has built-in planning tools, while Power BI needs extra tools for detailed planning
IBM Cognos Analytics may have been designed to scale up to a very large number of users however we are a small business with small number of users and the program worked equally well for us. We would highly recommend the product for any business no matter the size, small to large.
Is good for use across multiple locations. It allows users to access data and reports from anywhere, regardless of their location. Can consolidate data from various sources, including different SAP systems and external sources, which facilitates cross-location analysis. SAC enables access to data and models from SAP Datasphere to create new stories. Detailed permissions can be defined for cross-departmental use.
I found SPSS easier to use than SAS as it's more intuitive to me.
The learning curve to use SPSS is less compared to SAS.
I used SAS, to a much lesser extent than SPSS. However, it seems that SAS may be more suitable for users who understand programming. With SPSS, users can perform many statistical tests without the need to know programming.
Many manual data manipulations and exports in Excel have been replaced by the tool, providing management with improved insight into the amount of time spent at each stage of an invoice's lifetime, allowing bottlenecks to be discovered.
We now have more insight into the data, and people with little technical experience can easily build stories.
