What it is
Reference architecture + implementation services: data lake + warehouse + foundation-model-powered natural-language analytics layer.
Make money for the customer
- 10-20% marketing efficiency lift (McKinsey benchmarks)
- 5-15% revenue uplift from better customer-LTV decisions
- Compounding decision-speed advantage, operators making N+1 quality decisions per quarter
Save money for the customer
- Replaces manual BI/reporting team hours; consolidates multiple BI tools
- Reduces operational waste from data-blind decisions
- Avoided cost of building unified-data + AI layer in-house (12+ months, $500K-$1M)
Customer proofs
AWS service surface
Capability: warehouse, data integration, object storage, foundation models, business-intelligence surface
AWS strategic angle
Drives warehouse, data services, and foundation-model consumption