Optimal Scenario Mining for Business Strategy Decision-making through Process Mining

Process mining is often used for process discovery and conformance checking for big data analytics. Yet, after identifying problems, seeking solutions and deploying them is often the end of the process, whilst event logs analysis can also be used to yield business performance. This paper proposes an approach for utilizing process mining and event logs analysis to aid business decision-makers in narrowing down the considered business options and yielding business performance. After defining how event log analysis can be used to execute performance checking and thus narrowing down business options, a case study is conducted wherein the proposed approach is demonstrated. Evaluation has been performed through three experiments in a logistic case study, where possible business scenarios are considered, and after a given interval, the worst-performing scenarios are eliminated. The experiments show that the proposed approach of narrowing down business scenarios assists business decision-makers in finding an optimal scenario.