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Celonis vs IBM Process Mining comparison

Kazyna Turdibayeva

June 15, 2023

In today's data-driven business landscape, process mining has emerged as a powerful technique for analyzing and improving operational processes. Two prominent players in the process mining market are Celonis and IBM Process Mining. While both companies offer process mining solutions, there are notable differences between them. In this article, we will compare Celonis and IBM Process Mining, highlighting their features, strengths, and main differences, to help you make an informed decision for your organization.

What is the difference between Celonis and IBM Process Mining?

Celonis and IBM are leading process mining companies, each with a distinct approach. Celonis specializes in process mining and offers a dedicated platform focused on optimizing processes. They provide targeted insights and tools to uncover inefficiencies and bottlenecks. In contrast, IBM offers process mining capabilities as part of its comprehensive suite of enterprise software. Their holistic approach integrates process mining with other software components, allowing organizations to leverage existing investments. 

Both companies share the goal of achieving operational excellence, but organizations should evaluate their specific needs, technology landscape, and long-term objectives to determine which solution aligns best with their process mining goals. Read more to learn about the detailed comparison between these two. 

Celonis vs IBM - peers in process mining

Process mining is a methodology and a powerful technology that leverages event log data from various systems to visualize and analyze the actual execution of business processes. It provides insights into how processes are performed, identifies bottlenecks and inefficiencies, and helps organizations to optimize their operations. By combining data science, machine learning, and process modeling techniques, process mining offers a data-driven approach to process improvement.

These are some of the benefits that process mining can offer companies:

Enhanced Visibility: Process mining provides a clear visual representation of end-to-end processes, enabling organizations to understand how activities are performed, flow, and identify bottlenecks.

Improved Efficiency: By identifying bottlenecks, inefficiencies, and deviations, process mining helps streamline operations, uncover areas for improvement, and implement targeted changes, leading to increased efficiency and reduced costs.

Data-Driven Decision Making: Process mining utilizes data analytics to provide valuable insights into processes. By analyzing event logs and historical data, organizations can make informed decisions based on objective, data-driven evidence rather than assumptions or intuition.

Compliance and Risk Mitigation: Process mining ensures compliance with regulations and internal policies by analyzing process data and identifying deviations. This enables organizations to take corrective actions, reducing the risk of non-compliance and potential financial or legal consequences.

Continuous Process Improvement: Process mining supports a culture of continuous improvement by capturing and analyzing real-time process data. It allows organizations to monitor the impact of process changes, measure the effectiveness of improvement initiatives, and make data-backed adjustments to further enhance processes over time.

Growing demand in process mining 

In recent years, there has been a growing demand for process mining across various industries. Companies have come to realize the potential of process mining in improving how they operate, enhancing customer experiences, and driving overall business growth. As businesses embark on their digital transformation journey and prioritize data-driven decision-making, process mining has emerged as a valuable tool. It enables organizations to gain insightful and practical information by analyzing event logs, pinpointing areas of process bottlenecks, identifying inefficiencies, and uncovering opportunities for optimization. 

This understanding of end-to-end processes and the ability to visualize process flows has become increasingly essential in today's highly competitive landscape. Additionally, the availability of advanced analytics and AI-driven technologies has further contributed to the growing demand for process mining, as organizations aim to fully utilize their processes and achieve operational excellence.

What is Celonis Process Mining?

Celonis is a process mining platform, which helps organizations to transform their business processes and achieve significant operational improvements. With its advanced analytics and process automation capabilities, Celonis has established itself as a market leader.

Celonis provides a user-friendly interface that allows business users to visualize their processes, identify bottlenecks, and uncover opportunities for optimization. The platform offers process discovery, conformance checking, and performance analysis features. These capabilities empower organizations to streamline their processes, reduce costs, and enhance customer satisfaction.

What makes Celonis Process Mining popular?

  • Enterprise Focus: Celonis caters to larger enterprise organizations and offers a high level of service and robust security measures specifically designed to meet their needs.
  • Extensive Partner Ecosystem: Celonis benefits from a network of over 250 partner agencies, including leading management consultancies and BPOs, providing valuable support for implementation consulting services.
  • Event Log Expertise: Celonis possesses wide-ranging experience in extracting and mining event logs from various systems, such as popular ERPs like SAP and Oracle. This expertise allows Celonis to effectively analyze and derive insights from diverse data sources. 

What is IBM Process Mining?

IBM is a renowned technology company known for its wide range of enterprise software solutions. In the realm of process mining, IBM offers a comprehensive suite of tools designed to help organizations gain deep insights into their processes and make data-driven decisions.

IBM Process Mining provides a robust and scalable platform that allows organizations to capture and analyze event data from multiple sources, including ERP systems, CRM platforms, and more. It enables users to visualize process flows, identify inefficiencies, and uncover hidden patterns and correlations. 

IBM Process Mining offers advanced process simulation capabilities. Users can create "what-if" scenarios to evaluate the impact of process changes before implementing them. This feature enables organizations to optimize their processes and reduce risks associated with process changes.

IBM's extensive experience in the field of analytics and data management is also reflected in its process mining solution. The platform provides a range of data transformation and cleansing functionalities, ensuring that the data used for analysis is accurate and reliable.

What makes IBM Process Mining popular?

  • Integration with Enterprise Software: IBM process mining seamlessly integrates with IBM's suite of enterprise software, providing a unified solution for process optimization.
  • Scalability and Performance: IBM process mining is designed to handle large and complex datasets, ensuring effective analysis of vast amounts of event log data.
  • Advanced Analytics and AI Capabilities: IBM process mining incorporates advanced analytics and AI-driven technologies, enabling organizations to leverage predictive and prescriptive insights for process optimization.

Celonis vs IBM Process Mining Comparison

When comparing Celonis and IBM Process Mining, several factors come into play:

User interface and ease of use

Celonis is good at providing a user-friendly interface that allows business users to easily navigate and interact with the platform. IBM Process Mining, on the other hand, offers a more robust and customizable interface that caters to the needs of technical users and data scientists. It provides greater flexibility in terms of data manipulation and advanced analytics capabilities.

Functionality and customization options

Both Celonis and IBM Process Mining offer a wide range of functionalities, including process discovery, conformance checking, and performance analysis. However, Celonis is often praised for its extensive library of pre-built connectors and templates that accelerate the implementation process. 

IBM Process Mining, being part of IBM's comprehensive suite of enterprise software, offers seamless integration with other IBM solutions, such as IBM Watson and IBM BPM. This integration potential allows organizations to leverage additional analytics and automation capabilities.

Integration capabilities with other systems

Celonis has established strong partnerships and integrations with leading enterprise software vendors, enabling smooth data exchange and integration with systems such as SAP, Salesforce, and Oracle. This integration ecosystem contributes to Celonis' popularity among organizations using these systems.

IBM Process Mining, with its robust integration capabilities, can seamlessly connect to a wide range of enterprise systems and databases, allowing organizations to leverage their existing technology investments.

Pricing models and cost considerations 

Pricing models for Celonis and IBM Process Mining can vary based on factors such as deployment type, data volume, and additional features. Organizations should consider their specific requirements and budget constraints when evaluating the cost of each solution.

Customer support and user community

Celonis has a strong user community and provides extensive customer support, including training resources, documentation, and regular updates. The community-driven approach fosters knowledge sharing and collaboration among users.

IBM, with its global presence and extensive customer support network, offers comprehensive assistance to its clients. IBM's vast experience in enterprise software and its commitment to customer satisfaction ensure reliable support throughout the implementation and usage of IBM Process Mining.

A third alternative - Workfellow 

Bigger companies like Celonis, Signavio, and IBM might have established themselves as dominant players in the process mining arena, but new innovative players are increasingly gaining ground. One such example is Workfellow -  a company that’s pioneering the first hybrid process intelligence solution powered by AI. It seamlessly combines process insights and task insights into a single comprehensive solution.

Although Workfellow was established in 2019, it has come a long way in making its mark across many different industries, having clients from industries such as logistics and consumer goods, and knowledge-work-intensive areas like banking, financial services, and insurance. 

Key features of Workfellow

  • Automated insights: Workfellow provides companies with automated insights and improvement recommendations.
  • End-to-end analysis (E2E): Through its innovative Work API method, Workfellow is able to track tasks and process flows across all the business apps and systems, having no limitations and allowing for E2E analysis of workflows. 
  • Level of privacy: Workfellow is a GDPR-free solution that does not process any personally identifiable data. 
  • Ease of deployment: Workfellow does not need integrations with systems to access event logs; instead it generates event logs automatically through a method called Work API. 

Workfellow Process Mining deployment 

Workfellow has gained recognition as one of the fastest process mining tools to implement in the market. The majority of its clients can access data and insights within a month, showcasing its efficiency and ease of deployment. The tool incorporates a plug-and-play data capture feature, which enables the extraction of business data from any application, eliminating the complexities associated with event log integration and mining. This approach provides a significant advantage, as it is up to ten times faster than traditional process mining techniques. As a result, Workfellow customers can obtain valuable insights within a 30-day timeframe, without the need for extensive data engineering resources.

Workfellow Process Analytics

Workfellow offers companies advanced and customizable options for visualizing processes and tasks, addressing a diverse range of use cases. Its key strength lies in its capability to monitor the flow and duration of activities, processes, and tasks across multiple business applications and systems. 

In addition to visualizations, Workfellow provides exceptional granularity in tracking the cost and time associated with complex workflows that span various business applications. This level of detail proves highly advantageous for organizations seeking to optimize their operational efficiency.

Workfellow automation capabilities

Workfellow provides companies with improvement recommendations on what should be automated in certain processes. It is the first-ever process intelligence tool that was developed with intelligent automation opportunity identification ingrained into the technology. Moreover, Workfellow can help to assess the impact of those automation initiatives on KPIs.

Workfellow pricing

Workfellow’s pricing is based on a Software-as-a-Service approach, where companies only pay for the number of workstations connected to Work API. The minimum number of connections required is 50 workstations. The cost of ownership for clients has typically been up to 3x lower than the other well-known alternative. To learn more about pricing or to request a quote, contact us

Celonis vs IBM Process Mining summary

To conclude, Celonis, IBM Process Mining, and Workfellow are all effective process mining tools and can provide valuable insights making the organization more optimized. The choice between these three technologies depends on the company specifics such as automation needs, size of the company, and budget.

Who should use Celonis?

Celonis could be a perfect fit for larger organizations that have extensive data science capabilities and primarily operate their workflows and processes within a single ERP system, like SAP.

Who should use IBM Process Mining?

IBM Process Mining is designed for medium to large enterprise organizations that aim to gain deep insights into their operational processes and identify bottlenecks, inefficiencies, and opportunities for optimization. It is suitable for businesses across industries that prioritize data-driven decision-making and seek to enhance their operational efficiency through advanced analytics and process optimization capabilities. 

Who should use Workfellow?

Workfellow is the perfect fit for organizations that don’t have a separate unit of data scientists and people solely dedicated to conducting process mining activities. Rather, it provides an effortless and fast way to gain process intelligence without data mining hassle. Read a case study on how a medium-sized accounting firm uncovered over € 2 million ($2.17 million) worth of process waste.

Frequently Asked Questions

Are there free process mining tools and software?

There are a number of free process mining tools and open source solutions that can be used. In addition, some commercial vendors offer free options eg. for academics and students.

Do process mining tools automate business processes?

Process mining itself does not automate business processes, however some process mining software vendors provide robotic process automation (RPA) or other automation solutions.

Does Workfellow replace our current process mining solutions?

Workfellow can augment process mining tools by giving a broader view on business processes, or cover the blind spots other process mining solutions can't analyze.

How does process mining contribute to cost savings?

Process mining helps organizations identify inefficiencies, redundancies, and deviations from standard procedures, enabling them to reduce resource consumption, avoid costly rework, and improve overall process efficiency, leading to significant cost savings.

How is process mining different from business intelligence?

Process mining is a subset of business intelligence where you combine BI methodologies and data science techniques to business process management.

Written by

Kazyna Turdibayeva

Marketing manager at Workfellow