Using Analytics for the Optimization of Product Support Data

Enterprise Resource Planning (ERP) systems are used to store data records of activities underlying various business processes, from which Key Performance Indicators (KPI) are derived, providing visibility into the organization. How well the recorded information adheres to business processes and how well those are defined and implemented affect data quality, determining how KPIs accurately portray the present and future state of the organization. KPIs derived from ERP data can sometimes differ greatly or even conflict with business process models, producing an incomplete or erroneous view of the organization. Process Mining, a multidisciplinary field at the convergence of data-mining and business process management, can be applied to analyze patterns in ERP data, extracting process workflow patterns that can reconcile conflicts between ERP data and business process models. TO BE CONT’D

Faculty Supervisor:

Martin Ester

Student:

Partner:

Finning International

Discipline:

Computer science

Sector:

Information and Communications Technology; Commercial Services; Manufacturing and Construction

University:

Simon Fraser University

Program: