Why Enterprise Data Strategy Fails in Production
Planning for ideal states while ignoring operational reality
Real strategy under constraint trade-offs, prioritisation, execution, and competitive failure.
Planning for ideal states while ignoring operational reality
Your data center strategy optimizes for predicted load that never materializes
Your data transformation roadmap fails where planning meets organizational reality.
Growth requires alignment. AI without strategy creates technical debt that scales.
Comfort is structurally rational and strategically fatal.
The COBOL works. The replacement doesn't. That's the whole story.
The ambiguity is a feature, not a bug.
Your RICE score means nothing when reality hits the backlog
Change fails 50-70% of the time. Your inspirational poster won't help.
Pithy wisdom sounds great until you need an actual decision procedure.
Same three words. Seven completely different demands.
A perfect explanation of yesterday that predicts nothing about tomorrow.
They saw it coming. The incentives said don't move.
How infrastructure evolution shaped modern business
When legacy systems fail faster than replacement timelines
The gap between strategy and measurement
Testing whether it deploys instead of whether it works
Balancing immediate value with strategic transformation