Gartner Insights Abstract

Innovation Insight: Process Mining Helps Overcome Major Automation Challenges

Published: 22 July 2024

Summary

Hidden process complexities, unrealistic cost-savings expectations and subjective decisions hinder automation success for digital transformation. Technology innovation leaders can use process mining to identify automation opportunities, set realistic expectations for RPA and eliminate subjectivity.

Included in Full Research

Overview

Key Findings
  • Process mining uncovers optimal automation opportunities by analyzing how processes are orchestrated.

  • Process mining eliminates human biases by using data-driven insights — instead of subjective judgment — to identify the most valuable automation opportunities.

  • Process mining sets realistic expectations for automation projects by simulating their impacts, such as cost, time and resource savings.

Recommendations

IT leaders responsible for executing successful automation initiatives must:

  • Select the right candidates for automation by using process mining to understand hidden complexities and perform due diligence of frequent changes.

  • Use unbiased, near-real-time or factual process data from process mining to navigate political resistance and subjective judgment.

  • Leverage the

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