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Documentation Index

Fetch the complete documentation index at: https://revrebel-sync-metrics-library.mintlify.app/llms.txt

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Metrics Library

Metrics Platform

Metrics is REVREBEL’s internal business intelligence and analytics platform designed to centralize, standardize, and analyze hospitality data across operational systems. The platform exists because hotel data is rarely clean, consistent, or organized the same way twice. PMS exports, CRS reports, RMS forecasts, booking engine data, pace reports, spreadsheets, and vendor systems all structure information differently. Metrics provides a unified reporting framework that transforms those disconnected datasets into a consistent operational intelligence layer used for forecasting, revenue strategy, distribution analysis, performance reporting, and decision-making. The objective is not simply consolidating data, the objective is creating a reliable operational system where revenue teams, analysts, dashboards, automation workflows, and reporting layers all interpret metrics consistently. Metrics supports:
  • revenue strategy,
  • forecasting,
  • pace analysis,
  • pickup reporting,
  • pricing intelligence,
  • distribution analysis,
  • benchmarking,
  • and operational performance tracking.
The platform is intentionally structured around how hospitality reporting behaves operationally — including snapshot-based pace reporting, comp-set benchmarking, forecast versioning, event overlays, and multi-source reconciliation workflows. Because hospitality reporting is complicated enough already. The infrastructure underneath it shouldn’t make it worse.

Documentation Standards

This documentation library defines the canonical standards used throughout the Metrics Platform, including:
  • warehouse architecture,
  • naming conventions,
  • table structures,
  • dimensional modeling,
  • benchmark processing,
  • event intelligence,
  • planning frameworks,
  • and semantic reporting standards.
These standards exist to preserve:
  • reporting consistency,
  • benchmark integrity,
  • operational traceability,
  • and downstream analytical stability across the platform.

Standards