Customer Onboarding

Impacts sensor density, calibration, and model training.

Determines sensor load, throughput, and alert thresholds.

Enables integration planning and data fusion.

Drives model prioritization (e.g., queue prediction vs. dwell analysis).

Triggers onboarding sprint (e.g., accelerated calibration for <14 days).

Determines support level (e.g., remote setup vs. on-site).

Impacts protocols, data sovereignty, and security.

Triggers mandatory privacy validation.

Determines model audit trail requirements and anonymization rigor.

Required for legal sign-off on data processing.

Drives model prioritization and KPI tracking.

Anchors success metrics and A/B testing.

Enables predictive modeling and benchmarking.

Enables integration with YQ’s economic impact framework.

Drives backend pipeline design for aggregation & streaming.