Process Mining can be used in almost every area of an organization where there is a process involved.
The more complex the process, the greater the benefits of using process mining.
Intelligent automation, digital transformation, compliance, auditing, KPI reporting, process improvement, and ERP development are all common situations where this technology is used.
Process Mining Application Areas
Main Use Cases
80%
Increase in automation – Business Transformation
• Compare fact-based as-is processes with the design
• Increase process automation
• Monitor the transformation
60%
Increase efficiency – Operational Excellence
• Discover inefficiencies and waste in your processes
• Identify the root causes of problems and fix them
• Monitor process KPIs
100%
Process Coverage – Risk and Compliance
• Discover process deviations, violations, and fraud
• Instantly notify about breaches
• Ensure continuous regulatory compliance
Typical Process Domains and Source Systems



Process Mining can be used in almost every area of an organization where there is a process involved.
The more complex the process, the greater the benefits of using process mining.
Intelligent automation, digital transformation, compliance, auditing, KPI reporting, process improvement, and ERP development are all common situations where this technology is used.
Process Mining Application Areas
Main Use Cases
Typical Process Domains and Source Systems
80%
Increase in automation – Business Transformation
• Compare fact-based as-is processes with the design
• Increase process automation
• Monitor the transformation
60%
Increase efficiency – Operational Excellence
• Discover inefficiencies and waste in your processes
• Identify the root causes of problems and fix them
• Monitor process KPIs
100%
Process Coverage – Risk and Compliance
• Discover process deviations, violations, and fraud
• Instantly notify about breaches
• Ensure continuous regulatory compliance



Process Mining can be used in almost every area of an organization where there is a process involved.
The more complex the process, the greater the benefits of using process mining.
Intelligent automation, digital transformation, compliance, auditing, KPI reporting, process improvement, and ERP development are all common situations where this technology is used.
Process Mining Application Areas
Main Use Cases
80%
Increase in automation – Business Transformation
• Compare fact-based as-is processes with the design
• Increase process automation
• Monitor the transformation
60%
Increase efficiency – Operational Excellence
• Discover inefficiencies and waste in your processes
• Identify the root causes of problems and fix them
• Monitor process KPIs
100%
Process Coverage – Risk and Compliance
• Discover process deviations, violations, and fraud
• Instantly notify about breaches
• Ensure continuous regulatory compliance
Typical Process Domains and Source Systems



Intelligent Automation
Robotic Process Automation (RPA) was initially promoted as the ultimate solution to all business inefficiencies. But as RPA technology advances, companies are discovering that maintaining it can be costly, bots can break down, and they may lose track of changes in their processes.
A better way to tackle the issue is to use process mining to analyze and enhance the processes before applying suitable automation to them from the backend.
To make the most of your automation investment and achieve optimal operational efficiency, it’s important, to begin with the appropriate processes, recognize their exceptions, and use the appropriate tools to monitor and streamline them regularly.
Process mining also provides answers to questions such as:
• What is the expected ROI for this automation initiative?
• Which processes are the most suitable for automation?
• What are the most common process exceptions?
• How does the automation rate of a process vary across different countries?
• How do I prove the value of this automation initiative?
Auditing
Auditors used to rely on interviews and reviewing process documents to gather information about processes. However, process mining now enables both internal and external auditors to enhance their efficiency by providing them with immediate and comprehensive visibility into an organization’s current and past processes.
By using process mining, auditors can shift from analyzing subjective samples to analyzing the complete, factual process as it is, which provides an assurance and saves valuable time.
Compliance
Process mining tools are a highly efficient and effective means of detecting potential compliance problems. Compliance managers typically rely on extensive sampling to assess process compliance, as processes may differ from one cycle to the next. However, this approach doesn’t ensure complete transparency, as deviations can go unnoticed by human observation.
Process mining provides users with the ability to view, compare, and contrast processes in real time. This minimizes the inconvenience and presents the end-user with a comprehensive list of all anomalies.
Digital Transformation
For any organization seeking to succeed in their present market, digital transformation is imperative. However, determining and validating changes and new systems can be difficult. Process mining tools offer change managers a complete view of their processes, making it simple to pinpoint areas requiring enhancement. Demonstrating the worth of automation has never been easier – your argument can be supported with just a click.
Process KPI Reporting
To base decisions on facts and data, management teams require a system of intelligent, efficient, and achievable Key Performance Indicators (KPIs). However, numerous businesses struggle with their KPI-related duties, as it can often take too much time to establish a KPI measurement and reporting system initially.
To base decisions on facts and data, management teams require a system of intelligent, efficient, and achievable Key Performance Indicators (KPIs). However, numerous businesses struggle with their KPI-related duties, as it can often take too much time to establish a KPI measurement and reporting system initially.
Process Improvement
Process mining helps you pinpoint areas for process improvement by identifying bottlenecks, inefficiencies, and sources of rework. By reducing the time spent on identifying and analyzing issues in your Lean Six Sigma initiatives, you can focus more on improving and controlling your processes. In other words, process mining streamlines your process improvement efforts and helps you achieve better results faster.
IT & ERP Development
IT professionals use process mining to simplify the management of ERP migrations, implementations, and deployments. When organizations plan to undertake a system transformation or introduce a new ERP, they first need to review and understand their existing processes before moving on to new systems and processes. In short, process mining helps IT professionals ensure a smooth transition to new systems and processes by providing a clear understanding of current processes.
If organizations don’t have a complete view of their processes, they risk moving ineffective processes into new systems without addressing bottlenecks and issues in the migration. Process mining addresses these challenges by comparing current processes to designed process models, highlighting the most and least effective process variations, and providing constant visibility into the end-to-end process flow. It also alerts users when issues arise, making it easier to identify and address problems quickly. In summary, process mining ensures that organizations migrate only effective processes into new systems by providing a clear view of process performance and identifying areas for improvement.
Reference: The business leader’s guide to process mining