Insights

15.04.23

abaQon Project Report: Process Mining

THE PROJECT

As part of a strategic project, a renowned Swiss retail bank is pursuing the goal of rapidly identifying process inefficiencies and optimising them. The project aims to verify whether “process mining”, a methodology for data-based process analysis, is a valid and sustainably efficient alternative to manual process measurement.

For a successful implementation of this project, it is essential to demonstrate an understanding of the entire value chain and its mapping in the core banking systems as well as sound methodological knowledge in the area of process management.

As a consulting boutique specializing in IT & business projects in the financial industry, abaQon has these competencies and was therefore commissioned for the project.

OUR CONTRIBUTION

abaQon supported the project in the roles of project management as well as process and data engineering. Thereby we relied on our proven approach:

  1. Identification of adequate use cases
  2. Extraction of the required data from multiple data sources
  3. Transformation of the extracted data including the enrichment with business logic
  4. Interpretation of the visualized processes to identify inefficiencies and their causes
  5. Recommendation of specific measures for process optimisation


REALISED ADDED VALUE

It was confirmed that process mining proves to be a more efficient and transparent methodology than manual process measurement. After the initial implementation, the sustainable added value results from the establishment of the permanent, continuous, and cost-effective process measurement.

Process miningProject ReportUIPath

Project Responsibility

Jürg Käser

Jürg Käser, Senior Consultant