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Intelligence for
Operations Leaders

In-depth analysis and practical guidance on operational AI, process intelligence, and predictive analytics — written for leaders making real implementation decisions.

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Process Mining in Enterprise Organizations: A Practical Guide
Process Mining

Process Mining in Enterprise Organizations: A Practical Guide

Process mining transforms raw event log data into visual operational intelligence. Here's how enterprise operations teams are using it to discover hidden inefficiencies, measure conformance, and identify improvement opportunities with data-driven precision.

February 2025
6 min read
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Building Intercompany AI-Driven Organizations: From Data to Decision
Predictive Analytics

Building Intercompany AI-Driven Organizations: From Data to Decision

Organizations that successfully integrate AI into their decision-making processes share a common pattern: they treat operational data as a strategic asset, not a byproduct. Here's how to build the data and AI culture that makes predictive intelligence possible.

January 2025
7 min read
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Why Enterprise AI Implementations Fail: The Seven Patterns We See Repeatedly
AI Implementation

Why Enterprise AI Implementations Fail: The Seven Patterns We See Repeatedly

73% of enterprise AI initiatives fail to reach production scale. After working through dozens of implementations, we've identified the seven failure modes that account for the vast majority of unsuccessful programs — and what to do about each one.

December 2024
9 min read
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Process Intelligence in Healthcare: Moving Beyond EMR Reporting
Process Mining

Process Intelligence in Healthcare: Moving Beyond EMR Reporting

Electronic medical records generate enormous amounts of data — but most healthcare organizations are only scratching the surface of what that data can reveal about operational performance. Process mining changes the picture entirely.

November 2024
6 min read
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Data Readiness for Predictive Analytics: What You Actually Need to Get Started
Predictive Analytics

Data Readiness for Predictive Analytics: What You Actually Need to Get Started

The most common reason organizations delay predictive analytics initiatives is a belief that their data isn't ready. In most cases, they're wrong. Here's an honest assessment of what data readiness actually requires — and what it doesn't.

October 2024
5 min read
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