

Find out in this report how the two AI Data Analysis solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
In the first couple of years, I would not expect a return on investment because the initial setup will take more than a year if the process requires significant customization.
In my opinion, there's a positive return on investment.
I have seen a return on investment, especially in time saved for my clients; in the incident management process, the average cycle time for handling tickets was over ninety-eight hours, but after identifying root causes, such as tickets being held due to wrong group allocation, the cycle time reduced to approximately thirty-eight hours.
It took more than two weeks to receive a response.
Celonis customer support is really good; they investigate concerns thoroughly and provide solutions or troubleshooting steps, which I find helpful.
Other times I do not get much clarity on the support from the team.
I recall that when we started using Celonis, we had a space of five terabytes and around one thousand users, and Celonis managed all of that easily.
I recommend focusing on recent data or perhaps five years of historical data along with live data for better visibility and stability in the process.
At the moment, I'd rate scalability six or seven out of ten.
It's super stable.
Celonis is stable.
Ultimately, I need niche expertise, combining strong SAP knowledge with Celonis competency.
It is essential for the Celonis solution to have their services and solution models integrated with GenAI.
The most important area for improvement is the automation part.
I believe that the owners of IBM SPSS Statistics should think about improving the package itself to be able to treat unstructured data.
I'm unsure if SPSS has a commercial offering for big servers, unlike KNIME, which does.
I think it's relatively expensive, but it's also good.
Based on client feedback, I have heard that the pricing for Celonis is considered high.
creating a data model for one process will differ in cost if you add more data models for additional processes.
Celonis is also beneficial for its built-in apps that streamline tasks from legacy applications, facilitating daily operations and improving efficiency.
It provides a visualization of the process itself, giving a very good synthesis of performance and helping me find improvements.
It's the first solution that combines business competence and capabilities with technological capabilities.
Predictive analytics is the most important part of analytics.
I mainly used it for cross tabs, correlation, regression, chi-squared tests, and similar analyses often seen in published papers.
| Product | Market Share (%) |
|---|---|
| Celonis | 0.5% |
| IBM SPSS Statistics | 0.5% |
| Other | 99.0% |

| Company Size | Count |
|---|---|
| Small Business | 9 |
| Midsize Enterprise | 6 |
| Large Enterprise | 44 |
| Company Size | Count |
|---|---|
| Small Business | 9 |
| Midsize Enterprise | 6 |
| Large Enterprise | 20 |
Celonis is the global leader in execution management. Powered by its process mining core, Celonis has evolved from its beginnings as a Process Mining company into an execution management pioneer, enabling companies to unlock execution capacity and perform at full potential. Celonis offers advanced technology in data execution, combining real-time process data, the intelligence to make sense of that data, and the execution capacity to take immediate, decisive action. Celonis’ Execution Management System makes data work for its customers by identifying inefficiencies and weaving interconnected processes together – thereby eliminating billions in corporate inefficiencies, empowering better business decisions and triggering the right actions automatically. Celonis is headquartered in Munich, Germany and New York City, USA and has 15 offices worldwide.
IBM SPSS Statistics is a powerful data mining solution that is designed to aid business leaders in making important business decisions. It is designed so that it can be effectively utilized by organizations across a wide range of fields. SPSS Statistics allows users to leverage machine learning algorithms so that they can mine and analyze data in the most effective way possible.
IBM SPSS Statistics Benefits
Some of the ways that organizations can benefit by choosing to deploy IBM SPSS Statistics include:
IBM SPSS Statistics Features
Reviews from Real Users
IBM SPSS Statistics is a highly effective solution that stands out when compared to many of its competitors. Two major advantages it offers are the wealth of functionalities that it provides and its high level of accessibility.
An Emeritus Professor of Health Services Research at a university writes, "The most valuable feature of IBM SPSS Statistics is all the functionality it provides. Additionally, it is simple to do the five-way analysis that you can in a multidimensional setup space. It's the multidimensional space facility that is most useful."
A Director of Systems Management & MIS Operations at a university, says, “The SPSS interface is very accessible and user-friendly. It's really easy to get information from it. I've shared it with experts and beginners, and everyone can navigate it.”
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