Multi-Location Hospitality Systems Standardization & Reporting Modernization
A comprehensive program to unify software usage, establish data governance, and deliver executive-grade reporting across all Freed resort properties.
A Unified Foundation for Data-Driven Hospitality
Freed Hotels & Resorts operates a portfolio of premier resort properties, each running critical software platforms independently. This program addresses the fragmentation that results from decentralized system usage by establishing uniform standards, a governed data layer, and unified reporting capabilities.
The outcome is a scalable, enterprise-grade data architecture built on BigQuery and dbt, delivering consistent, trustworthy reporting to leadership and operational teams across all properties.
Seven Platforms. One Unified Standard.
Each system will be assessed, standardized, and integrated into the unified data architecture.
Eight Phases. Structured for Success.
Each phase has defined objectives, deliverables, and completion criteria with formal sign-off.
Understand how each property currently uses each system, what data exists, what reports are consumed, and what visibility the business needs.
- Discovery summary and stakeholder findings
- Current-state software usage assessment by property
- Per-system assessment report
- Gap analysis and pain-point log
- Initial best-practices recommendations
7–10 Month Implementation Window
Estimated total duration depends on stakeholder access, vendor responsiveness, data quality, and integration complexity.
| Phase | Est. Duration | Sequence |
|---|---|---|
| 1. Discovery | 30–45 days | Starts project |
| 2. SOP Rollout & Governance | 30–45 days | After discovery |
| 3. Legacy Data Translation | 20–30 days | After discovery, overlaps with Phase 2 |
| 4. Architecture Recommendation | 10–15 days | After discovery and legacy review |
| 5. Warehouse Rollout | 60–90 days | After architecture approval |
| 6. Software Engagement & Ingestion | 30–60 days | Overlaps with Phase 5 |
| 7. Governance & Recurring Review | 60 days initial, then ongoing | Begins after rollout starts |
| 8. Dashboards & Direct Access | 30–45 days | After curated data is stable |
Warehouse Model: BigQuery + dbt
The recommended approach replicates source schemas into BigQuery and uses dbt to create unified, business-ready tables. This model offers superior maintainability, scalability, and retroactive reporting capabilities compared to a live API model.
Risks, Dependencies & Assumptions
- Different locations using the same systems in materially different ways
- Missing or inconsistent legacy data
- Delays in vendor access or API support
- Schema changes in source platforms
- Incomplete adoption of SOPs after rollout
- Reporting disputes caused by differing business definitions
- Timely stakeholder scheduling across all properties
- Administrative access to each system
- Availability of existing reports and sample exports
- Vendor/API documentation and credential setup
- Agreement on standardized business definitions
- Client sign-off at the end of each phase
- BigQuery is the approved warehouse platform
- dbt is the transformation framework
- Custom dashboards are the reporting layer
- Oracle Opera Cloud remains a primary operational source, but not the sole reporting anchor
- A formal sign-off occurs at the completion of each phase
- Governance continues as an ongoing managed service after implementation