Data-Centric Risk Management for Business Processes

Abstract

Data quality is a key factor enabling the digital transformation, as automated business processes demand it for value creation. This paper explains the relationship between data quality and business processes. In this context, the paper presents two Key Performance Indicators (KPIs) to analyze this relationship and to prioritize actions to improve data quality. The first KPI quantifies the risk of a single process belonging to a process hierarchy based on the quality of its data. The second KPI considers the risk for all analyzed processes based on the quality of a specific data type. Based on these results, the paper presents an approach for prioritizing measures to improve data quality. The applicability of the KPIs is demonstrated with a real application.