Perspectives
The ideas behind the work.
Twenty years of patterns from inside airline and enterprise data transformations. These aren't think pieces — they're the observations that shape how I work.
Foundations First
Three departments, three definitions of revenue, same airline. The problem isn't the dashboards — it's that nobody has the same definition of what they're measuring. Fix data trust before visualization.
Read →Technical Debt as Strategy
Technical debt isn't the problem — how you think about it is. Strategic debt is a deliberate choice to build something imperfect now because the business value justifies it. One prototype funded its own replacement in six months.
Read →Your ETL Contains More Institutional Knowledge Than You Think
Delta Sharing promises to eliminate ETL pipelines, but someone still has to define what 'revenue' means. Those 'brittle' pipelines contain years of institutional knowledge. The question is where that knowledge will live when they're gone.
Read →Own Your Strategy
A CMO couldn't articulate a single personalization use case without describing a vendor's feature set. When you let system capabilities drive your strategy, you've surrendered your initiative to someone who doesn't know your business.
Read →Your Airline Doesn't Have an AI Problem
Airlines are rebranding normal business cycles as AI transformations. Meanwhile, the actual work — aligning teams, simplifying architectures, building trust in data — doesn't get done. AI won't fix a misaligned organization. It'll just automate confusion.
Read →Outcomes Never Lie
When an airline CEO said 'outcomes never lie,' it crystallized what's missing in enterprise tech: the courage to admit when investments aren't driving results — and the discipline to fix the fundamentals instead of chasing the next platform.
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