Key Findings & Highlights:

This NelsonHall market analysis focuses on process understanding platforms and builds on the earlier “Process Discovery & Mining Technology Evaluation” projects with an updated view of the current functionality and planned roadmaps of process discovery & mining platforms, including their capabilities in:

• ETL — to extract, transform, and load transactional data from IT systems for analysis and integration with third-party platforms for enabling automation and proactive interventions
• Desktop recording — to collect streams of desktop work that includes application data, environmental variables, and user interactions and use AI/ML to parse work from streams of recordings
• Conformance checking and proactive intervention — to understand how work is performed against organizational policies and best practices and to leverage ML and heuristics to trigger automations (workflows and RPA bots) and real-time process guidance on desktops
• Root cause analysis — to find factors that are contributing to certain process behaviors and outcomes
• What-if/simulation/forecasting — to simulate scenarios of process transformation and to understand potential impacts before making changes
• Enabling process reengineering — finding processes that would benefit from process improvement and deploying technologies such as automation, OCR, email templates, AI/ML, etc.

The key drivers for organizations to use process understanding platforms are to improve the overall visibility and transparency of processes. Service buyers are also looking to reduce undesirable outcomes and cycle times. Key inhibitors are the cost and complexity of processes, which can make the onboarding and understanding of processes more difficult.