Data & AI insights for practical leaders

Practical thinking on data consulting, AI strategy, and execution — written for teams who need results, not theory.

August 10, 2026

How to Prioritize AI Use Cases When You Have More Ideas Than Budget

Every strategy session ends with more AI ideas than you can fund. Here's a practical framework for picking the few worth doing first.

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August 3, 2026

Why Most AI Pilots Never Reach Production (And What to Do Differently)

A slick demo isn't the hard part. Here's why AI pilots stall before production, and the three things that separate the ones that ship.

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July 30, 2026

How to Measure ROI on Analytics Before You Buy Another Dashboard

Most analytics investments get judged on usage, not impact. Here's a three-question framework to know if yours is actually paying off.

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July 6, 2026

AI Governance Without an Enterprise Budget: A Practical Framework

You don't need a compliance department to govern AI responsibly. Here's what actually needs governing, and what can wait.

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June 22, 2026

Build vs. Buy: How to Actually Decide on AI Tools

Vendor demos make build-or-buy feel obvious. It isn't. Here's the framework to use instead of defaulting to either extreme.

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June 18, 2026

Why You Need a Data Consulting Partner (Not Another Enterprise Vendor)

Enterprise vendors are built for enterprise budgets and enterprise timelines. Here's what to look for instead.

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