Cost Deployment with Process Mining

cost-reduction disco performance-analysis quality-of-service

By Anne Rozinat

At GlaxoSmithKline (GSK), we use Data Science, Artificial Intelligence (AI) and classical continuous improvement to drive productivity in manufacturing. GSK took quality management data from Enterprise Resource Planning (ERP) systems and combined continuous improvement methodologies with process mining and machine learning to understand how variations of a process affect cost.

The learning from the activity was profound. A resulting model with various algorithms, together, now enable an understanding of the cost of a process instance. Process mining and the use of the Disco software was essential to understand the variation in the process.

Download case study

Case study details

GlaxoSmithKline (GSK)
Case study year:
Latest update:
14 October 2020