GRAPH DATABASES AND ROBOTIC PROCESS AUTOMATION: ACHIEVING IMPROVEMENT IN PROJECT KNOWLEDGE MANAGEMENT

Abstract

A key component for project success, particularly for complex and risky projects, is adequate knowledge management. The results of our feasibility study reveal the need for a dedicated analytical instance to better support virtual knowledge processes. We suggest combining robotic process automation (RPA) with a knowledge-focused graph database (GDB). Therefore, we present a prototypic approach for integrating this concept into project management routines.