We use the solution for procure to pay, order to cash, and warehouse management. Essentially, we utilized OCPM model, which facilitated the connection of three distinct processes. By linking these processes, we were able to identify inefficiencies across the entire workflow, spanning from warehousing to account payable and order to cash. The process of connecting these three processes took approximately three months. Subsequently, we achieved a value realization of around 15 million dollars in monetary terms.

Celonis has robust process mining capabilities, conducted thousands of successful implementations across various clients. Currently, Celonis offers not only process mining but also process modeling within its suite of tools. Their approach has evolved from case-centric process mining to OCPM, which represents a different paradigm in the field. This shift to OCPM has been successful for Celonis, allowing for more effective analysis and optimization of processes.

The solution is stable.

Celonis is known for its stability and scalability. It seamlessly integrates with various tools, including RPA tools, and offers a user-friendly interface, making it easier to use compared to some other products. However, the claim that SAP products have less ability to integrate heterogeneous systems compared to SolarWinds is inaccurate. Both Celonis and SolarWinds have the capability to integrate with a variety of systems, including SAP, Oracle, JD Edwards, and Salesforce. Additionally, both companies provide technical documentation to guide users through the integration process.

30 people are engaged with the solution.

We primarily reached out to Celonis when encountering issues or when we needed to activate specific features that we were entitled to but were not enabled by default. In these cases, we contacted Celonis technical or customer support for assistance.

Celonis is simple to use, but OCPM requires a deeper understanding from the business. It can be a bit complicated to use. Overall, the platform is very intuitive. It has aided us in coding and building views in one and a half to two months, making it very user-friendly for us.

Celonis is expensive but it depends on the deals. If Celonis's market strategy is more aligned with providing a lot of discounts, then it's a very complicated pricing strategy. Typically, partners are entitled to some credit points.

The mining capability of Celonis is very mature compared to other products.

Celonis is certified with numerous major compliance verifications. As a tool, it boasts close to 40 certifications, including GDPR, ISO, and COSO. Additionally, it is SOC 2 compliant.

First of all, Celonis is a good tool for process mining. Companies planning to implement Celonis or purchase a license, they need to first determine their strategy for utilizing it. Simply using Celonis as a platform may not yield significant results. To maximize value, they should consider leveraging Celonis' Value Accelerators. If they aim to identify and address inefficiencies, it's essential to quantify them. Celonis can assist in quantifying various inefficiencies and automating processes to mitigate them, resulting in tangible savings. For instance, in a procure-to-pay process, increasing realized cash discounts from five percent to ten percent can lead to substantial savings. Similarly, parameters like accounts receivable turnover can be measured, offering a promising return on investment or license purchase.

Celonis utilizes PIG with AI capabilities to develop Copilot, a tool aimed at providing insightful analysis by interpreting user commands such as querying specific KPIs. This system is efficient in generating alarms on the backend and producing matrices based on user inputs.

Overall, I rate the solution a nine out of ten.

I have used the solution for POCs and POVs on P2P, procure-to-pay and order-to-cash processes. I have also worked on a project that involved implementing a Starter Kit using Celonis for procure-to-pay. Celonis offers Starter Kits for multiple use cases. Celonis has also been used in our company for incident management and automated solutions using the ML workbench.

I have dealt with majorly two types of customers with Celonis. There are strategic customers who use the product for one or two months duration to check the reports for high-level processes. The other types of customers for Celonis are operational customers who use the product daily using the profile view.

One of the vital features is the solution's easy integration with varying sources. The end-to-end process view offered by Celonis is another crucial feature that no other analytical tool is able to provide.

Celonis' data engineering processes should be transformed into a low-code structure. Excessive coding is still required across the Starter Kits, where the market is focusing on low-code automation or transformations. The tool's UI should also be more intuitive. The data engineering pipeline within Celonis is highly technical.

The interface in future versions of Celonis can have a drag-and-drop format with a more intuitive configuration. If you check other solutions like Power BI, business professionals can use it without technical experience, but usually, the same person won't be able to use Celonis freely. In the standard deployment of Celonis, you will need one project manager, an expert value architect, and two or three developers to manage the design pipeline.

If your organization has a partner for executing all the Celonis pipelines, then it must be ensured that a COE is assigned in-house for hypercare needs. For instance, if some KPIs need to be changed or if irrelevancy is found, maintenance needs to be implemented every year or every six months for KPI adjustments and rebuilding of sources or logic.

The aforementioned maintenance tasks for Celonis are usually carried out by an in-house COE; without a COE, maintenance can become challenging.

I have been using Celonis for more than three years.

The solution is often unstable, and issues occur, requiring tickets to be raised with the vendor. Common issues include inaccessible dashboards, non-displayed KPIs, and unavailable source content. A dedicated professional is needed in the organization to deal with such aforementioned issues.

It's a scalable solution for the cloud properties.

I am unsatisfied with Celonis' support experience. The response time is huge, but a response always arrives from the support team.

Celonis' initial setup process is very simple, especially if POCs and POVs are implemented using manual data. But the implementation of Celonis for data engineering aspects and transformations can be extremely complicated due to excessive technicalities. Our organization uses the cloud version of the product.

To deploy Celonis at our organization, we begin with data analysis and try to identify the sources. Then, process connectors are used to integrate the sources. The aforementioned steps are implemented based on the two-way quality environment.

The data is downloaded directly on Celonis as per the client's requirement and timespan, after which the extraction phase arrives, where we implement the transformation using the selective tables, activity tables, and case tables.

As part of the aforementioned step, varying support dimensions from sources like SAP are used and the data job is created. Once the data job runs, the activity and case table are loaded with data, post which the data jobs can be explored on varying process explorers. Then based on the overall KPIs the deployment process of Celonis is completed.

If the Starter Kit is being used, then data validation needs to be implemented in addition to the aforementioned processes. The deployment process of Celonis has three phases: the first is the analysis phase, followed by the build phase, and the value training phase.

The deployment duration majorly depends on the sources; for instance, if you have SAP as a source and the standard modules have been scoped out, it would take a month for analysis, two months for design and another two months for value creation, so it takes five to six months overall to deploy Celonis for standard sources like SAP or Oracle, but for custom-built solutions it can take one or two extra months.

In our organization, we measure two KPIs, which are time-to-value and time-for-value and these factors are used to calculate the ROI. There is definitely an ROI for Celonis due to the extremely innovative methodology and premise.

Celonis is the most expensive solution in the market, and many customers are ready to migrate to more affordable solutions such as ARIS and SAP Signavio. Celonis must reduce its costs globally, especially in countries like India.

Celonis is extremely innovative compared to other tools. The data pipeline needs to be improved, but I would rate Celonis a ten out of ten for innovation.

Customers of Celonis either follow the strategic KPIs or the operational KPIs. The strategic customers reap the benefits by utilizing the transformational aspect of Celonis, for instance, including strategic KPIs such as automation capability and checking the increase or decrease in automation rate of the core system.

On the other hand, operational customers might check KPIs related to incident rates, bottlenecks, and throughput time so that immediate decisions can be made using Celonis. The aforementioned KPIs help the operational customers strategically budget the digital transformation projects.

Celonis helps customers improve their business model through the automation approach, which might have been previously a preventive approach. Celonis presently follows a pro-active approach that helps in anticipating what bugs might be found.

The Execution Management System (EMS) of Celonis has helped in identifying and addressing inefficiencies across processes. The aforementioned features provide a centralized view. I would recommend others to use process mining solutions, but I would leave them to their own decision and expertise to choose the most suitable one for their organization, Celonis should be among the top choices.

The biggest trend with Celonis is that it's already equipped with object-oriented process mining that integrates multiple sources. I believe OCPM is one of the market trends that only Celonis has successfully implemented.

Celonis allows the integration of automation features with process mining through the acquisitions of firms like Integromat and Make. Communication and task mining are other industry trends that Celonis is able to leverage. I would rate Celonis as eight out of ten overall.

My primary use cases are in the finance area. We use it in invoice processing, P2P (Procure-to-Pay) processes, etc.

The idea is to track the entire process, from onboarding a vendor, issuing a purchase requisition (PR), getting a quotation, and creating a purchase order (PO).

Celonis helps identify deviations, delays, reworks, and quality issues within that process. It reveals things like which vendor types or invoice categories tend to have the most issues. These are the insights we can get from the data.

Celonis has helped me to identify and prioritize process improvement areas. Because we understand the end-to-end lead time, including waiting times and areas where rework happens, we can see the performance bottlenecks.

Celonis also shows us the typical critical path, how often it's followed, and how frequently there are deviations. With all this information, we can easily prioritize improvement projects.

We target areas needing the most improvement for significant impact. Celonis has its own instances to support this.

Celonis is vital wherever we need process improvement, lead time reduction, improved quality, or reduced rework. It works across various domains. Within finance and accounts, we have many ready-made APIs, which makes deploying Celonis easy. From there, it's simple to identify the right use cases. Overall, Celonis is particularly powerful within finance.

I haven't personally used the AI features for process improvement, but at a larger scale, we could use classification techniques. This means creating predefined queries using ML [Machine Learning]. Based on the data, these queries would perform the functions we designed.

For example, if we want Celonis to classify invoices paid with or without POs, or analyze the volume of version payments, the AI models can do this when normal queries might not.

The dashboards are helpful. They allow you to customize performance views and filter by specific criteria. Additionally, the AI interventions, like machine learning algorithms, that can be customized are very valuable features.

It also offers real-time process visualization. It's been useful for creating management dashboards. We can develop performance summaries for areas like the O2C [Order-to-Cash] or P2P [Procure-to-Pay] processes. These highlight problems and identify specific vendors or customers needing attention. Having these performance measures on hand greatly assists decision-making during process-related discussions.

One area for improvement is that, while Celonis has existing APIs for some domains like accounts, it lacks ready-made ones for others, like financial services. This means we need to customize our data channels so the data can be used by Celonis.

There's a lot of pre-work needed to cleanse and harmonize data attributes before it's usable with Celonis. That's the main issue I see with the tool.

Let's use an example of a financial process, such as loan origination. An application comes in and is scanned. Someone then reviews it, capturing the details.

After review, it enters the organization system, potentially with bypass steps. There are different stages: validating the application, capturing data, validating documents, and deciding whether to accept the loan. We need to precisely define these stages.

In many organizations, this data might not readily exist. We can't just use Celonis with existing data; it needs harmonization first.

This means we might not be able to leverage existing data in Celonis, starting from scratch instead. If an organization has ten years of data, we need to cleanse it at the data point level and metadata level.

This involves merging, simplifying, removing, and relabeling attributes. It's a lot of work. Celonis works well when this pre-work is done. Right now, good facilitating tools are missing, even from Microsoft. We need to harmonize those timestamps manually before connecting the data to Celonis, which provides the analysis output we need.

I hope Celonis simplifies this process in future releases.

I have done a certification in this product. So, I used it for six to eight months.

It is a highly stable product. I would rate the solution a nine out of ten.

It's highly scalable. Since it has premade APIs for finance, we can scale from or across organizations. It can handle multiple ERPs, navigation variations, and such. So, I see no issues with scaling.

I would rate the scalability an eight out of ten.

The customer service and support has been fine.

For standard procedures, it's easily deployable. However, we do need technical support from Celonis experts for the deployment process.

After that, we need people who'll design the specific use cases to be implemented in Celonis, and then the team who'll use it for process improvement.

So, there are various stakeholders involved. Overall, while deployment is possible, it does require some support from Celonis.

For the initial data cleansing part, I'd rate my experience with Celonis itself a three out of ten, with ten being easy because we have to pre-setup. We need to cleanse the existing data, and that's a challenge.

However, for the initial setup of Celonis Search, I would rate my experience a seven out of ten, with ten being easy.

There is some support required for the deployment of Celonis.

It's a very good tool with lots of customization options for dashboards and queries.

Overall, I would rate the solution an eight out of ten.

I use it to understand the process to see whether we have the bottlenecks. To map the quotas. And to see if that way, which is the information flowing immediately. Hoping how bad this thing is in the process.

We're currently visualizing data in the tools. We're setting up a proxy to pay some NetSuite and PTP. We're also analyzing data and visualizing QPI. So, we've been reviewing work, gathering data, putting everything together, and visualizing it in Celonis. It's been helpful in that way.

We're not even using Celonis to its maximum capability. There's still much to discover about how this tool is developing.

One of the best aspects is the ability to match documents for intercompany transactions. We use this a lot, and it's very helpful.

Because we need to understand what's happening within the company when we have internal transactions and charges between business units, this used to be done manually. Now, with Celonis, we can match them automatically and in real time. That's been helpful.

It could be less expensive.

I have been using this solution for a year. I work with the latest version.

I would rate the stability a ten out of ten. It's very good. It offers good data consistently. It's somehow standardizing the way how the information is provided, and all those dashboards are very useful. So, it's a very good tool. We like it here.

I would rate the scalability a ten out of ten. It is very easy to scale. It works globally. I can analyze data globally. I can go see the process end-to-end for various streams. It's a very good tool.

We have high-profile managers and directors using Celonis for the outcome. They are not working with Celonis per se, but they are using the outcomes and the results of the website.

There are around 50 end users using this solution in my company.

It's used every single day. The data is uploaded daily automatically from SAP. So, all the data is gathered, and the functionality gives value.

We plan to increase the further usage. We want to extend it to another team, but it's about budget and cost. So, we will see how we will do that.

We have an internal team. The team who works with the product, addressed the technical support. The result was satisfactory.

I did not have direct experience with the deployment process. But from what I saw, it was not so hard. What was pretty pretty straightforward. It's working very, very well with SAP.

I would rate the initial setup an eight out of ten, with ten being easy. I believe it took a couple of months to deploy.

The deployment process was handled in-house. We have a team that takes care of the maintenance and updates. There were five to ten people involved.

They work in continuous improvement as Celonis implementation, execution, or whatever.

We have seen an ROI. We are spending less time gathering and analyzing the data, actually, not just analyzing or putting together any contracting dashboards and tables whatsoever. So, calculating the KPI. It's very useful in this research.

I would rate this return on investment seventy percent, where one is zero percent, and ten is a hundred percent return on investment.

It's pretty expensive. I would rate the pricing an eight out of ten, with ten being expensive.

It works very well if you have money. It is working very well on a single version of Celonis, meaning if you have one ERP globally, all are already implemented. If you have many, it's a bit more difficult. But if you have only one ERP across all these teammates in the group, this is a nice tool to use.

Overall, I would rate the solution a nine out of ten because it is expensive.

I use the solution to deal with API processes, to understand business flows, and end-to-end processes.

The most valuable features of the solution are Celonis Process Explorer and Variant Explorer, which allow users to see all the digital footprints related to processes.

With Celonis, the way to use the product is one of the main difficulties users face in our company. In our company, we use Celonis for analysis, KPIs, and dashboards, and though the creation of new views is not too difficult for me, I cannot use all the luxurious things that we use in Celonis in our company while dealing with the analysis part. In general, the tool is easy to use, but our company doesn't get the luxury of using all the components in the analysis area of the product.

I have been using Celonis for a year. My company has a partnership with Celonis.

In terms of scalability, Celonis has more potential than Tableau and Power BI. Scalability-wise, I rate the solution a nine out of ten. Celonis is a wonderful tool, so you cannot find any drawbacks at the right moment.

My company connects daily with Celonis' technical support team. Celonis' technical support team is very supportive, and our company can reach out directly to the support team if we have any queries.

Within a day or two, the technical support team of Celonis solves our company's issues.

I rate Celonis' technical support team a seven out of ten.

In Celonis, when our company has all the configuration permissions, then the initial setup phase becomes easy, especially when we want to connect to their source system. Otherwise, users can use Slack to deal with the product's initial setup phase, which is an easy process. The source system makes documentation available in Celonis, so it is not difficult for anybody to deal with the product's setup phase.

The solution is deployed on the cloud, and if you don't want to connect to the systems, then it can always provide the data in a flash file.

Celonis doesn't need users to follow a deployment process since one has to just give users access to Celonis EMS to users so that they can see the process flow. There are no deployment issues in Celonis, and once any model is built with the product, our company has to provide training to the client on how to use all the dashboards and KPIs with Celonis Process Explorer and Variant Explorer.

Though Celonis is a bit pricey, it is worth it.

I suggest that others who plan to use the solution first use Celonis Academy Training.

With Celonis, my company builds apps and publishes them in marketplaces, and if anybody wants to use a particular app, then our company builds it for them, after which they can download it or purchase it from us.

I rate the overall tool a nine out of ten.