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Process Understanding 2023

Market Analysis

by Mike Smart

published on Jun 06, 2023

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Report Overview:

NelsonHall’s Process Understanding market analysis consists of 71 pages

Who is this Report for:

NelsonHall’s Process Understanding 2023 report is a comprehensive market assessment report designed for:

  • Sourcing managers investigating sourcing developments within the process understanding platform market 
  • Vendor marketing, sales, and business managers developing strategies to target process reengineering opportunities
  • Financial analysts and investors specializing in the digital transformation platform sector, including those analyzing task and process mining platforms.

Scope of this Report:

The report analyzes the market’s major process understanding platforms and addresses the following questions:

  • What is the market size and projected growth for the process understanding platforms market by geography?
  • What is the profile of activity in the process understanding platforms market by industry sector?
  • What are the top drivers for adoption of process understanding platforms?
  • What are the benefits currently achieved by users of process understanding platforms?
  • What factors are inhibiting user adoption of process understanding platforms?
  • What pricing mechanisms are typically used within process understanding platforms and how is this changing?
  • Who are the leading process understanding platform vendors globally and by geography?
  • What combination of capabilities are typically provided within process understanding platforms?
  • What are the challenges and success factors within process understanding platforms?

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.

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