Case Study · Hospitality & Restaurant Tech

Data Warehousing & Analytics for a Large Hospitality Chain

Hospitality · Data Mesh Architecture · Multi-Property Analytics · Self-Serve BI

The challenge

Data fragmented across properties.

Multi-property data fragmentation

Data from multiple owned/operated properties needed to flow to a central warehouse — no scalable ingestion.

No unified revenue & pricing view

Business development, pricing, and revenue dashboards were not consolidated across the hotel network.

Operational monitoring gaps

No real-time alerts dashboard against golden source and checksum files for monitoring workload reconciliation.

Locked data architecture

Existing architecture could not easily onboard new hotels or integrate OTA, Pricing, and Chatbot systems.

What we built

A governed data mesh.

Flexible data mesh architecture

Multi-layered data mesh structure for blending data from multiple properties and systems in one governed platform.

Revenue & pricing dashboards

Functional and technical dashboards for business development, pricing, and revenue across all properties.

Operations monitoring & alerts

Monitoring dashboard with alerts against golden source and checksum files for workload reconciliation.

Open API & self-serve architecture

Open API architecture enabling self-serve analytics and external system integration (OTA, Pricing, Chatbots).

Results

Quantified outcomes.

360°

Workload visibility with reconciliation and automated reports.

Blended

Unified view validated against golden source with EWL alerts.

Flexible

New hotels and systems onboard quickly — no major re-architecture.

Optimized

Cloud cost optimization via indexation and partitioning.

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