Proof
/ Consumer, CPG & RetailScalable Data Architecture for a Perfume and Fragrance Company
QR/OS™ Layers
QR/OS™ Blocks
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→ Capability pageBusiness situation
A $35 million US cosmetics and perfumes manufacturer and distributor needing a holistic and scalable data strategy.
The challenge
The company lacked a coherent data strategy, governance framework, and scalable architecture, making it impossible to run advanced analytics or AI applications at scale.
Why it matters
Quantum Rise defined a scalable data strategy and implemented a Databricks-based data architecture including data lake setup, governance definition, ETL pipelines, and use case prioritisation.
What Quantum Rise delivered
The QR/OS™ approach in practice
- • Defined and validated data strategy and operating principles • Databricks-based data lake (Bronze/Silver/Gold Medallion layers) • Data ingestion, cleansing, and ETL pipelines • Use case prioritisation roadmap • BI integration for data democratisation
Directional outcome
Scalable and optimised data architecture. Integration with BI tools for data democratisation. Enhanced operational and financial performance visibility. Agentic AI efficiency gains from centralised knowledge base.
What became repeatable
A Databricks-based data lake with Medallion architecture — reusable data platform pattern for mid-size consumer goods companies.