Target operating model for process mining
Ser, Burcu (2021)
Diplomityö
2021
School of Engineering Science, Tuotantotalous
Kaikki oikeudet pidätetään.
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi-fe2021120859618
https://urn.fi/URN:NBN:fi-fe2021120859618
Tiivistelmä
Process Mining is a relatively new discipline that connects data and process sciences. It combines data mining techniques and process improvement approaches to enable organizations to discover, validate and enhance their processes thus, creating business value by uncovering value in their data.
The thesis studies process mining and investigate existing applications to understand process mining capabilities and industry best practices to implement process mining. The thesis aims to identify how a company can initiate process mining and scale it on enterprise-level and what elements are needed to operate it successfully.
The study first generated a framework to illustrate what is needed to start and scale process mining initiatives in an organization. It also generated a target operating model that different organizations can adopt. The study suggests that for process mining implementation, the organizations need to define a clear organisational structure and a governance model; well-documented processes, controls, and capabilities; well-designed technology landscape; data management; sourcing principles and processes; and how to empower people and support continuous improvement change culture. As a result, it produces a target operating model that includes how demand development and monitoring can be operated to enable continuous improvement and innovations.
The thesis studies process mining and investigate existing applications to understand process mining capabilities and industry best practices to implement process mining. The thesis aims to identify how a company can initiate process mining and scale it on enterprise-level and what elements are needed to operate it successfully.
The study first generated a framework to illustrate what is needed to start and scale process mining initiatives in an organization. It also generated a target operating model that different organizations can adopt. The study suggests that for process mining implementation, the organizations need to define a clear organisational structure and a governance model; well-documented processes, controls, and capabilities; well-designed technology landscape; data management; sourcing principles and processes; and how to empower people and support continuous improvement change culture. As a result, it produces a target operating model that includes how demand development and monitoring can be operated to enable continuous improvement and innovations.