Deciphering Hidden Truths: How Process Mining Reveals Significant Patterns

Deciphering Hidden Truths: How Process Mining Reveals Significant Patterns

Ronald Lv8

Deciphering Hidden Truths: How Process Mining Reveals Significant Patterns

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Can You Dig It? Find Meaning Through Process Mining

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Featuring

Mike Smart 198X198

Mike Smart

Senior Analyst and Operations Officer at NelsonHall

Bruce Orcut 198X198

https://techidaily.com https://techidaily.com

Bruce Orcutt

Senior Vice President of Product Marketing at ABBYY

Overview

In 2021, analyst firm NelsonHall estimated the global Process Discovery & Mining (PDM) market to be at around $670M. By 2025, they project it will grow to around $4.3B. The pandemic exposed blind spots in business processes, across all industries. To stay competitive in this growing market, you need to improve your process flows and derive actionable insights. Process mining shows the path forward.

Watch it now!

ABBYY is proud to have been named a leader in the NelsonHall NEAT Evaluation for the second year. As one of the leading research and analysis firms on achieving business transformation, NelsonHall share their vision for the future in this webinar. Join Senior Analyst Mike Smart and ABBYY’s Senior Vice President of Product Marketing Bruce Orcutt, as they discuss:

  • The state of process discovery and mining – where it’s been and where it’s going.
  • Real-world use cases for process discovery and mining plus how they complement intelligent automation.
  • Recommendations for enterprises at all stages of their automation journey.

This is a great opportunity to hear from some of the top minds on process improvement. See how you can drive real business transformation.

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Also read:

  • Title: Deciphering Hidden Truths: How Process Mining Reveals Significant Patterns
  • Author: Ronald
  • Created at : 2024-10-13 23:51:02
  • Updated at : 2024-10-15 00:46:24
  • Link: https://solve-info.techidaily.com/deciphering-hidden-truths-how-process-mining-reveals-significant-patterns/
  • License: This work is licensed under CC BY-NC-SA 4.0.