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Overview

A leading hospitality and vacation rental company approached VITA Solutions with a critical challenge impacting both occupancy rates and average daily revenue (ADR) across its portfolio of properties.

“We have multiple booking channels and revenue sources, but lack real-time visibility into performance. Our pricing strategy isn’t dynamic enough to react to changing demand, and manual reporting slows us down.”

Instead of implementing a generic BI dashboard, we built a comprehensive data analytics and intelligence framework that unified booking, pricing, and operations data — helping the client make faster, data-driven decisions to maximize occupancy and profitability.

Industry

Hospitality

Timeline

18 Months

Services

Design, Development, and Deployment

Achievements
40%
Faster Reporting Cycles
50%
Reduction in Reporting Errors
100% Property-Level Performance Transparency
25% Faster Turnaround for Housekeeping & Operations.
30% Growth in Direct Bookings.
20% Reduction in Channel Commission Costs.
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Project Challenges
Fragmented booking and occupancy data spread across OTAs, PMS, and internal systems
changes
Manual and delayed reporting impacting
real-time pricing decisions
changes
Limited insights into seasonal demand and property-level performance
rising-costs
Inefficient revenue management leading to suboptimal pricing & lost opportunities
observe
No single source of truth for executives to monitor KPIs and trends
How We Helped

Building a Unified Analytics Foundation for Smarter Decision-Making

Our Approach

VITA designed and deployed a data analytics ecosystem that connected all hospitality data sources into a single, actionable intelligence layer.

The engagement included:

Phase 1
Data Integration

Unified data from multiple booking platforms, property systems, and finance tools into Azure Data Lakehouse

Phase 2
Data Modeling

Developed performance models for occupancy forecasting, rate optimization, and seasonality analysis

Phase 3
Analytics & Visualization

Designed Power BI dashboards for real-time performance insights across geography, channel, and property

Phase 4
Predictive Insights

Leveraged Azure Machine Learning for forecasting demand fluctuations and suggesting ideal pricing

Phase 5
Governance & Scalability:

Implemented standardized data pipelines and role-based access for secure and scalable insights

Technologies Used

data-factory Power-Bi Terraform_Logo Azuremachinelearning SQLsynapse
22%
Improvement in Forecast Accuracy
Increase in Executive Insight Access
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Tangible Results, Real Business Value

Within the first few months of implementation, the transformation delivered measurable impact

15%
Increase in Mobile Booking Conversion
12%
Uplift in Average Daily Rate (ADR)
15% increase in occupancy rates through data-backed pricing adjustments
12% uplift in Average Daily Rate (ADR) from optimized rate strategy
Real-time performance visibility across properties and booking platforms
Faster decision-making with automated dashboards and forecasting models
Empowered business users with intuitive self-service analytics Smarter Insights. Higher Revenue. Sustainable Growth.
By turning their hospitality data into a strategic asset, the client not only improved daily operations but also established a data-driven culture that continues to enhance profitability and guest experience.

Key Performance Indicators

System Response Time< 200ms
Daily Active Users+150%
Error Rate< 0.1%
Customer Retention94%
Success Stories

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