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Process Mining

A Perficient Strategic Position

Data-Driven Insights Close Execution Gaps

Mark Huddleston
Mark Huddleston
Director, Perficient

What Is Process Mining?

Process mining is a data-driven, automated, and objective approach to analyzing business processes and enabling hyper-detailed insights and faster workflows.

Turn event data into actions to cut costs, improve process efficiencies, and find new revenue streams.

Rather than creating value as intended, digitizing processes often creates execution gaps, the common signs of which are: an inability to measure how processes run; an inability to determine the root issues with the most significant impact on KPIs; and an inability to quickly act upon, or a lack of means to remove, gaps in underlying transactional systems, all of which can force costly workarounds.

Process mining simplifies critical, highly complex business processes that often span multiple steps and stakeholders, and isolates the inefficiencies, errors, and delays that can impact organizational performance, customer satisfaction, and revenue.

Discovery, Conformance Analysis, Process Validation, and Process Improvement

According to Gartner® " By 2025, 80% of organizations driven by the expectations of cost reduction and automation-derived enhanced process efficiency will embed process mining capabilities in at least 10% of their business operations.” – Source: 2023 Gartner Magic Quadrant™ for Process Mining Tools, 20 March 2023.

*Gartner and Magic Quadrant are registered trademarks of Gartner, Inc. and/or its affiliates in the U.S. and internationally and are used herein with permission. All rights reserved.

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Schedule a Briefing/Workshop

Reach out to us and schedule a process mining briefing or an introductory workshop.

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