Process Mining

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Process Mining

What is it?

Process mining is the creation of business processes that will create minimum cost-time, maximum performance and efficiency as a result of automatic analysis of process records, usage information, user behavior and experience.

What Does It Do?

It classifies and prioritizes all application behaviors related to business processes as subject to digital transformation. It helps to find key structure problems in respect of current performance issues and any stages causing bottlenecks.

What are the advantages?

  • It increases the ROI value by finding the most suitable processes for automation.
  • It determines the automation pipeline by scoring the processes suitable for automation.
  • It enables the detection of bottlenecks in your current processes.
  • It provides better quality, faster and more efficient process management with less human resources.

Measurable Benefits



  • The bottlenecks experienced in the processes are detected and the lost time is avoided.
  • It provides high ROI values by detecting high-impact flows.


  • It provides performance increase by discovering the areas that need to be transferred to automation.
  • Determination of process-specific KPI values
  • It reveals areas that can be worked more efficiently with the existing staff.
  • Process optimization with continuous monitoring and improvement.

Installation & Integration

  • It can collect data from all your existing applications.
  • Direct integration with all existing databases without the need for a separate tool.
  • Cloud or on-premise installation.


  • Elaborating workflows with user-friendly process visualization technology.
  • Special dashboards for functional visualization and decision actions
  • Role based access
  • Ability to start mining with minimum effort thanks to ready-made templates


Process mining is the process of automatically analyzing business process event records, usage information and user behavior like steps in the field of process management, transferring them to automation or identifying and uncovering business processes that need performance improvement and that will provide maximum benefit in the shortest time.
In-Depth Analysis

It is the method followed in order to detect the bottlenecks experienced in the current processes of corporate companies, to reveal the automation potential and to capture the processes suitable for automation. With process mining, meaningful data is extracted from log records, databases, ERP systems or user movements produced at every step of your processes. By collecting all data on a single platform, the root cause of delays can be found by tracking all information such as the volume of the process, how long it takes at which step, how long it takes, how long it is delayed, from a single platform, and the parts to be transferred to automation can be determined, the monetary compensation for the losses due to delays can be determined, and the gain value obtained after the steps transferred to automation can be calculated.

Process mining can also be performed through workshops, surveys or interviews conducted specifically for the organization. Information about automation tools is shared with the participation of process owner employees who have knowledge about the process.

Automated Processes

Sample processes with automation potential and transferred to automation are shared. The methodology to be used in transferring any process to automation is determined. The process selection methodology is determined by considering the benefit to be gained from transferring the process to automation and the difficulty of transferring the process to automation. Seven different factors that determine the complexity of the processes and how to position benefits such as increasing productivity, providing cost savings, customer satisfaction, compliance, productivity increase, error reduction and quality increase, flexibility are determined in the calculation. After the developed methodology, all processes are collected in four different quadrants: Quick Win, Low Hanging Fruit, Long Term Improvements and Must Do Improvements, and the automation pipeline is established by determining the processes to be transferred to automation first.