Celonis vs. KNIME Analytics Platform vs. UiPath Process Mining

I believe that Celonis is a great tool to use in Uniper, as it can integrate data from different sources into a single platform, making interfaces more accurate and facilitating the monitoring of data flow from one source system to another.

Incentivized

KNIME Analytics Platform is excellent for people who are finding Excel frustrating, this can be due to errors creeping in due to manual changes or simply that there are too many calculations which causes the system to slow down and crash. This is especially true for regular reporting where a KNIME Analytics Platform workflow can pull in the most recent data, process it and provide the necessary output in one click. I find KNIME Analytics Platform especially useful when talking with audiences who are intimidated by code. KNIME Analytics Platform allows us to discuss exactly how data is processed and an analysis takes place at an abstracted level where non-technical users are happy to think and communicate which is often essential when they are subject matter experts whom you need for guidance. For experienced programmers KNIME Analytics Platform is a double-edged sword. Often programmers wish to write their own code because they are more efficient working that way and are constrained by having to think and implement work in nodes. However, those constraints forcing development in a "KNIME way" are useful when working in teams and for maintenance compared to some programmers' idiosyncratic styles.

Incentivized

document understanding, which is a key aspect of process mining, has its strengths and weaknesses. Its capability with handwritten or scanned documents is not there yet - compared to its competitors such as Abbyy. However, the integration with Uipath orchestrator and the studio is fantastic, plus its ability to integrate seamlessly with other applications.

Incentivized

• Clear understanding on how the processes really run
• Excellent solution to support use cases like harmonization, process excellence, audit and compliance
• High performing methodology to build economic value addressing inefficiencies
• Perfect to convince clients showing objective evidences
• Make easy the enterprise collaboration
• Provide an E2E "movie" of the processes
• Able to ensure a centric model to connect all the core processes
• Top performances that save time of the analyst that can spend energy in his real work
• Excellent ETL, agnostic (able to extrapolate data from many DB)
• Strong capabilities of the data model
• Continuous innovation
• Solid platform to address projects of business process reengineering

Incentivized

• Summarize instrument level financial data with relevant statistics
• Map transactions from core extracts to groups of like transactions using rule engines
• Machine learning using random forests and other techniques to analyze data and identify correlations for use in predictive models
• Fill out sampling data from averages.

• UiPath can automate any application (Citrix, .NET, HTML, Java, and Office), and is also compatible with Mainframe, SAP, Oracle, and many more systems.
• There are no design flaws.
• Efficiently manage a large number of users.
• Integrated with office desk.
• Easy to navigate.
• Uipath technicians always respond in a short time to any problem.
• Little loss of information when saving information.
• Reduces documentation management times.

• We had to build a custom dashboard for tracking value realization, as the transformation center was minimal in scope. For a very value-focused company, this area can be improved, which would be incredibly beneficial.
• The current licensing model sometimes limits the ambitious value goals, as we can't experiment with building analyses in different areas without a long-term license for that process.

Incentivized

• It does not have proper visualization.
• Some other BI tools (QlikView) have much easier functions for data interaction.
• Some other BI tools (Tableau) can be set up much faster.
• It is not an easy tool to use for non-tech savvy staff.

Incentivized

• It seems to be offered as a stand-alone product by UiPath which tends to increase the number of dedicated platforms that in-house developers have to mind. Integration into one of its already existing platforms would have been the best. Nonetheless, this does not impact its performance in any way, but rather the productivity of the user in the long run.

Incentivized

We have been able to leverage Celonis [greatly] because of the commitment and support we receive from our data scientist. I strongly believe that we would not be able to accomplish this without her assistance. Moreover, when we escalate matters, the product development is engaged and commits resources to make sure our initiatives/business cases are supported.

Incentivized

We are happy with Knime product and their support. Knime AP is versatile product and even can execute Python scripts if needed. It also supports R execution as well; however, it is not being used at our end

It's been such a helpful investment with a very good return on an investment. The amount of time alone we have been able to say by deploying UiPath Process Mining (formerly ProcessGold) has been worth it alone, not to mention the additional money we are able to generate through deploying these processes

It is a great tool but also requires a lot of work to get it into a useable fashion. Part of this is on our end as we don't have the dedicated analyst function yet to really become self-sufficient with Celonis. It also uncovers a lot of data issues or at the very least, multiple rounds of development and data validation are required before getting to a position where the business users feel comfortable with the data being reflected. This is fairly normal with any data-related development effort and perhaps not unique to Celonis.

Incentivized

KNIME Analytics Platform offers a great tradeoff between intuitiveness and simplicity of the user interface and almost limitless flexibility. There are tools that are even easier to adopt by someone new to analytics, but none that would provide the scalability of KNIME when the user skills and application complexity grows

Incentivized

It's the best tool in the market.

We submit tickets to Celonis through product support. No assistance is generally provided, have to wait and the ticket is then escalated to product support in Germany. Many times we submit the ticket and the support desk asks us the same questions back where they should already have this information.

Incentivized

KNIME's HQ is in Europe, which makes it hard for US companies to get customer service in time and on time. Their customer service also takes on average 1 to 2 weeks to follow up with your request. KNIME's documentation is also helpful but it does not provide you all the answers you need some of the time.

Incentivized

It a good product. I would definitely keep using it in the near future. We have had good feedback within the team and also from our stakeholders on the other side of the table. Right now, there isn't any other tool out there better for doing the tasks that UiPath is doing.

The trainer was well trained.

Celonis has a lot of tools to support the implementation.

KNIME Analytics Platform is easy to install on any Windows, Mac or Linux machine. The KNIME Server product that is currently being replaced by the KNIME Business Hub comes as multiple layers of software and it took us some time to set up the system right for stability. This was made harder by KNIME staff's deeper expertise in setting up the Server in Linux rather than Windows environment. The KNIME Business Hub promises to have a simpler architecture, although currently there is no visibility of a Windows version of the product.

Incentivized

The major reason to choose Celonis is that it has enhanced decision-making in filtering the candidates. The frontend designer has nice graphics and has well-designed self-service. I particularly enjoy the visual editor, which allows you to create complicated PQL without having to write any code, as well as the numerous filtering choices, including process mining options.

Incentivized

Having used both the Alteryx and [KNIME Analytics] I can definitely feel the ease of using the software of Alteryx. The [KNIME Analytics] on the other hand isn't that great but is 90% of what Alteryx can do along with how much ease it can do. Having said that, the 90% functionality and UI at no cost would be enough for me to quit using Alteryx and move towards [KNIME Analytics].

Incentivized

UiPath platform allows more flexibility when developing processes and has a great product road map. They are investing in developing new features and improving their products which will allow our clients to accomplish more using UiPath.

• The previous IFRS 9 calculation method was reaching its end of life—Celonis is a direct replacement for us.
• When rebuilding our logic from the old system to the new, it gave us a much-needed opportunity to revamp and standardise company codes and, in some cases, even pick up some errors.

Incentivized

• It is suited for data mining or machine learning work but If we're looking for advanced stat methods such as mixed effects linear/logistics models, that needs to be run through an R node.
• Thinking of our peers with an advanced visualization techniques requirement, it is a lagging product.

Incentivized

• From the perspective of a 15-man company, UiPath Process Mining enables us to forecast the long term performance needs of our human force, processes, infrastructure, and machinery.
• Reusability stands out as one of our company's objectives. UiPath Process Mining offers performance data and analytics that guide us and act as benchmarking parameters while gauging the performance of our robots and processes.
• A company that is intending or already scaled, the accuracy of the performance analytics of your RPA strategy is most vital to minimise resource wastage. UiPath Process Mining has enabled us to track the correlation of our productivity and performance with the resources at hand and then come to rather more accurate business decisions in this regard.

Incentivized