CASE STUDY

From fragmented feeds to frictionless forecasting: Unifying hotel group data at scale

Travel & EntertainmentData Engineering & Architecture

IMPACT SUMMARY

70%

Faster Forecast Accuracy

Real-time data drove better demand planning across regions

5x

Increase in Reporting Efficiency

Streamlined data pipelines cut manual prep time

$3.2M

Revenue Impact from Upsell Optimization

Smarter offers delivered higher-value bookings

700K

Unified Guest Records

Guest profiles unified across 140+ properties

Project Snapshot

A mid-sized hotel chain struggled to align guest data, booking systems, and performance metrics across their portfolio. Fragmented PMS (Property Management Systems), legacy data lakes, and siloed marketing tools made it impossible to accurately forecast demand, personalize offers, or report consistently to stakeholders. Manual data stitching slowed insights and undermined trust in analytics across teams.

Our Solution

We designed and implemented a unified data architecture that harmonized source systems into a single cloud-native platform. AI agents mapped schemas across disparate PMSs, loyalty apps, and booking channels—flagging gaps and standardizing fields to support real-time ingestion. We built metadata governance, hierarchy logic, and quality checks to enforce accuracy. Within weeks, the group moved from static quarterly dashboards to dynamic insights that power daily decisions—from rate optimization to campaign targeting.

SERVICE MIX

Data Pipeline DesignCloud-Native ArchitectureMetadata GovernanceSchema Normalization Agents

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