Celonis is a Process Intelligence platform that helps companies improve their operations, customer experience, and sustainability. The company’s technology provides a digital twin of a company’s processes, giving everyone in the organization a common language and the ability to identify and capture value.
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KNIME Analytics Platform
Score 8.4 out of 10
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KNIME enables users to analyze, upskill, and scale data science without any coding. The platform that lets users blend, transform, model and visualize data, deploy and monitor analytical models, and share insights organization-wide with data apps and services.
$0
per month
Pricing
Celonis
KNIME Analytics Platform
Editions & Modules
No answers on this topic
KNIME Community Hub Personal Plan
$0
KNIME Analytics Platform
$0
KNIME Community Hub Team Plan
€99
per month 3 users
KNIME Business Hub
From €35,000
per year
Offerings
Pricing Offerings
Celonis
KNIME Analytics Platform
Free Trial
No
No
Free/Freemium Version
Yes
Yes
Premium Consulting/Integration Services
Yes
No
Entry-level Setup Fee
Required
No setup fee
Additional Details
Snap is Celonis' free-to-use, cloud-based process mining solution, with over 3500 registrants and users. It includes most major features of Celonis, including all functionality found in common process mining tools. It also includes pre-built connectors to ServiceNow and pre-built content to get users started quickly on their process mining journey.
Celonis is well suited especially for comparably big use cases due to hefty license costs. For thorough analyses, all departments should take part in the approach since there are a lot of hidden influences and effects from departments to one another. Use cases like conformance / revision are possible but will not be a big lever since this only involves checking single instances.
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.
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.
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 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.
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
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.
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.
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.
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.
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].
Celonis thus far (and I do not anticipate anything changing) has not had a negative impact on our business. It has challenged us to think differently about what is possible and jumpstarted process improvement aimed at saving both money and time while improving the morale of our end users. Celonis has also provided us with enough data to be to develop targeted business objectives on system usage and timeliness which without them was nearly impossible to measure let alone act upon
Better order processing (quicker, more system driven, and saves money)
Reduction in throughput time (our order fulfillment time has improved and our order processing time has decreased)
Finds and acts on automation opportunities
Can find large dollar value opportunities for process improvement
Can find data driven recommendations for executive interactions
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.
