Analyzing Process Execution Time for Evidence-Based Policy Making in Information Systems using Process Mining

Abstract

Enterprises employ information systems to execute their day-to-day business operations. To enhance their competitive edge through efficient process management, organizations implement business policies. This paper aims to propose a method that combines two approaches: evidence-based policymaking and process mining, to facilitate process reengineering. Many evidence-based approaches based on process mining techniques have been conducted to evaluate process performance through measurements. However, these approaches mainly concentrate on individual process instances, whereas assessments of Business Process Redesign (BPR) primarily employ comprehensive performance measurements, such as overall process performance. This study suggests a method for analyzing process execution time, including Cycle time, Lead time, and Activity time, for evidence-based policymaking in information systems using process mining. Several Key Performance Indicators (KPIs) have been defined for the evidence-based management of business processes to pinpoint process bottlenecks. The results demonstrate that evidence from process mining can be utilized to validate the effectiveness of existing policies.

Keywords

• evidence-based approach
• process mining
• process performance
• key performance indicators
• execution time