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Detect and solve your process pain points with process mining

Automated process mining can help you examine transactions to uncover control breakdowns, process deviations, and potential fraud events.

Building trust by uncovering discrepancies with process mining

With today’s increasingly complex systems, tracking down operational inefficiencies and business risks is a needle-in-the-haystack quest. Automated process mining can help your firm find those discrepancies and even suggest improvements, offering an opportunity for organizations to embed trust and controls throughout systems and processes to mitigate risk, strengthen customer relationships, and safeguard security and privacy across the enterprise.

KPMG, through its alliance with the software firm Celonis, is working to design and develop a truly game-changing solution called process mining, which uses algorithms to automate the entire procedure of examining those millions of transactions for process problems.

The KPMG process mining methodology offers your company two key advantages:

  • increased value and efficiency, including opportunities for process improvement, operational efficiency, cost reduction, and automation
  • reduced risk, providing transparency to enable proactive risk management and identify actual risk events such as control breakdowns, process deviations, and potential fraud events.

Dive into our thinking:

Detect and solve your process pain points with process mining

Read this paper to learn more about process mining and its potential benefits.

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Mining deeper levels of trust

KPMG and Celonis helped a large biopharmaceutical company use automated process mining to optimize sourcing and contract management.

Standardized processes cut cycle time in half, built trust among vendors, and secured better terms for the client.

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Celonis | Process Intelligence

Accelerate process excellence and reduce risk



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Meet our team

Image of Todd Babione
Todd Babione
Principal, GRC Technology, KPMG US
Image of Jeff VerSteeg
Jeff VerSteeg
Managing Director, GRC Technology, KPMG US

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