Key Findings & Highlights:

NelsonHall’s Process Understanding study builds on the earlier Process Discovery & Mining Technology Evaluation studies 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 - to find processes that would benefit from process improvement and from deploying technologies such as automation, OCR, email templates, AI/ML, etc.

This report is for end-user (buy-side) organizations who are interested in understanding the current and future shape of the market as well as the requirements and experiences of their peers when seeking to buy specific technologies or services.