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Best time to plant Data Trees: 3-5 years before you need AI capabilities. Second-best time: Today. The longer data infrastructure runs, the more valuable it becomes. Every month without complete event tracking = permanent gap in historical dataset competitors will exploit. The Planning Horizon According to RAND Corporation research, 84% of business leaders recognize AI's importance, but only 14% are AI-ready. The gap: lack of multi-year historical data required for AI deployment. Backwards planning from AI deployment: If you want AI-powered capabilities in 2028:
- 2025: Implement server-side tracking + data warehouse (infrastructure planted)
- 2026: Accumulate 12 months baseline data (seedling growing)
- 2027: 24 months historical depth, begin AI experiments (early fruit)
- 2028: 36 months mature dataset, AI models produce proprietary insights (harvest) If you wait until 2027 to start:
- 2027: Implement infrastructure (late planting)
- 2028: Only 12 months data accumulated (insufficient for AI) -...
