PROCESS MINING
ILLUMINATING BUSINESS PROCESSES
ILLUMINATING BUSINESS PROCESSES
50% faster process mapping
With process mining, you can map and understand your processes 50% faster, leading to more effective decision-making and the elimination of inefficiencies.
5 times more accurate performance data
Process mining provides data on process performance that is five times more accurate, enabling better optimization and a higher level of control over operations.
Identification of hidden issues
Process mining technology uncovers hidden bottlenecks and other issues that were not visible in traditional analyses, helping to better optimize operations.
Get a fully objective view of your processes by analyzing only existing data from your company's IT systems. Understand your processes through dynamic visualization, uncover bottlenecks, errors, and other inefficiencies, and identify their causes. Organize brainstorming sessions and run various simulations to refine your processes and confidently implement necessary changes.
Our Solutions: Understand and Improve Processes Before Automation
Before diving into automation, it's crucial to understand and enhance your existing processes. Assessing the efficiency and scalability of current processes helps identify areas needing optimization. For organizations with complex and non-standard processes, automation may not be the first step. Process mining is a tool that helps quickly and effectively assess process maturity and identify areas requiring improvement.
How Process Mining Supports Optimization
Process mining analyzes data flows and employee behaviors, allowing for the reconstruction, visualization, and analysis of processes. Easily assess the degree of standardization by examining deviations in processes. This tool also helps identify processes and subprocesses that could be automated using intelligent tools like Robotic Process Automation (RPA).
Identifying Automation Opportunities
By analyzing various processes, you can not only evaluate but also prioritize further automation initiatives and assess their economic impact. Process mining allows for building and validating business cases and selecting appropriate actions early on, for both physical processes (e.g., in warehouses) and computer-based processes (e.g., order processing).
Our Solutions: Understand and Improve Processes Before Automation
Before diving into automation, it's crucial to understand and enhance your existing processes. Assessing the efficiency and scalability of current processes helps identify areas needing optimization. For organizations with complex and non-standard processes, automation may not be the first step. Process mining is a tool that helps quickly and effectively assess process maturity and identify areas requiring improvement.
How Process Mining Supports Optimization
Process mining analyzes data flows and employee behaviors, allowing for the reconstruction, visualization, and analysis of processes. Easily assess the degree of standardization by examining deviations in processes. This tool also helps identify processes and subprocesses that could be automated using intelligent tools like Robotic Process Automation (RPA).
Identifying Automation Opportunities
By analyzing various processes, you can not only evaluate but also prioritize further automation initiatives and assess their economic impact. Process mining allows for building and validating business cases and selecting appropriate actions early on, for both physical processes (e.g., in warehouses) and computer-based processes (e.g., order processing).
How Process Mining Works
When employees use various systems and applications, they leave traces of their activity in the form of data known as event logs. Process mining utilizes this data to visualize the actual flow of processes within a company and draw insights from the event logs. The required data includes three key elements:
1. Case ID: A unique identifier for individual cases in the system, such as a purchase order number.
2. Event Type: Information about a step in the process, such as the creation of a purchase order.
3. Timestamp: The exact time each step of the process is completed.
Practical Applications of Process Mining
Process mining software extracts this data directly from IT systems using built-in connectors. Based on this data, the tool creates diagrams of business process flows, identifies root causes of issues, highlights opportunities for automation, and more. This enables better process management and informed decision-making based on solid data.
When employees use various systems and applications, they leave traces of their activity in the form of data known as event logs. Process mining utilizes this data to visualize the actual flow of processes within a company and draw insights from the event logs. The required data includes three key elements:
1. Case ID: A unique identifier for individual cases in the system, such as a purchase order number.
2. Event Type: Information about a step in the process, such as the creation of a purchase order.
3. Timestamp: The exact time each step of the process is completed.
Practical Applications of Process Mining
Process mining software extracts this data directly from IT systems using built-in connectors. Based on this data, the tool creates diagrams of business process flows, identifies root causes of issues, highlights opportunities for automation, and more. This enables better process management and informed decision-making based on solid data.
Benefits of Implementing Process Mining Technology
Key benefits of implementing process mining systems in a company
Complete transparency of processesProcess mining provides full visibility into actual workflows, allowing for the identification of inefficiencies and bottlenecks in processes.
Faster decision-makingData analysis from process mining enables quick detection of issues and prompt corrective actions, which significantly accelerates the decision-making process.
Resource optimizationAccurate process analysis allows for better resource management and effective employee allocation, leading to increased operational efficiency.
Reduction of operational costsProcess mining allows for the elimination of unnecessary steps in processes, reducing operational costs and increasing the company's profitability.
