Unify hospitality data, analytics, and AI with a shared governed business context

Strategy Mosaic is a universal semantic layer. It gives hotel brands, resorts, restaurant groups, and travel companies a governed way to define and reuse business metrics, relationships, hierarchies, and access policies across data platforms, BI tools, applications, APIs, and AI agents.

A warehouse or lakehouse stores and processes data. Mosaic governs what that data means, how it should be calculated, which relationships are approved, and who is permitted to see each result. It works across your existing storage and cloud platforms rather than asking you to replace them. No. Mosaic can query data where it resides and operate within approved public-cloud, private-cloud, or customer-managed architectures. Deployment design depends on your data platforms, security requirements, and operating model.

Yes. Mosaic is built to sit above mixed data and analytics environments, so you can reuse governed business logic across major cloud, database, lakehouse, BI, application, and AI ecosystems. Mosaic keeps business logic independent from any single warehouse, BI tool, cloud, or model provider. You can modernize your technology stack while preserving the governed definitions that users and applications rely on.

Mosaic gives AI agents certified metrics, approved relationships, reusable query logic, and user-aware security context. That reduces how often a model has to infer business meaning directly from raw schemas, a common cause of text-to-SQL hallucinations: SQL that runs successfully but applies the wrong business rule. With governed context in place, you move closer to trusted AI, where the answer follows the approved definition.

Mosaic centralizes approved definitions, applies role and data-access controls, preserves lineage, validates query behavior, and shows you who accessed what. That supports AI data governance and audit readiness for regulations such as GDPR and CCPA covering guest data, though it does not replace your legal, compliance, risk, or control processes.

Yes. Many hospitality companies begin with a high-value domain such as guest experience, revenue and occupancy, labor and cost control, or loyalty and personalization. The governed foundation can then expand to additional properties and brands without rebuilding the same metrics and policies.

Strategy helps hospitality teams understand each guest across every property. With 100+ data connectors it combines your data across systems and uses AI to surface hidden patterns and send smart alerts ahead of service issues. Guest insights such as VIP status, preferences, and past feedback appear in the tools teams already use, and standardized dashboards track reviews, check-in efficiency, and upsell conversion so you can compare experience KPIs across properties.

Strategy tracks financial metrics in real time and uses AI to forecast cost overruns from bookings, weather, holidays, and historical trends. Cross-system dashboards unite POS, payroll, procurement, and reservations in one view of costs, service times, and guest sentiment, and push notifications let teams act from the front desk, the back office, or the floor.

Strategy automatically delivers tailored performance insights to the right people at the right time. A centralized business dictionary keeps KPIs consistent across regions, role-based access tailors dashboards from executive summaries to analyst filters, and self-service dashboards with AI summaries let teams track item-level sales and adjust promotions.

Strategy integrates HubSpot, Google Drive, and 100+ other tools into your solution with no code and no IT bottlenecks. It uses AI to predict guest preferences so you can customize services and build better benefit programs, and it rolls data up by brand, region, or property, or drills into a specific location, while maintaining strong data security.