Four Stages of Data Maturity
- Stage 1 — Descriptive: What happened? Reports, dashboards, historical analysis. Most fashion brands are here
- Stage 2 — Diagnostic: Why did it happen? Correlation analysis, root cause identification
- Stage 3 — Predictive: What will happen? AI forecasting, demand prediction, trend identification
- Stage 4 — Prescriptive: What should we do? AI-driven recommendations, automated decisions, optimised actions
Moving from Stage 1 to Stage 4 requires structured, historical data — and a platform designed to power each stage. FIRE is built for the entire maturity journey: from day-one dashboards to season-6 autonomous recommendations.

ACROSS THE ECOSYSTEM
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