Accor MEA — Production Readiness

Section 01

Executive Summary

The MEA Demand Intelligence dashboard monitors travel demand signals across the Middle East and Africa during the Iran conflict period. It tracks search demand, flight capacity, occupancy trends, booking pace, and recovery signals across priority corridors — giving Accor revenue management and marketing teams a single view to guide media spend and pricing decisions.

The dashboard currently runs as a demo with synthetic data. Every chart, KPI card, and corridor table is populated with representative numbers to validate the framework and UX. This document outlines the concrete steps required to replace synthetic data with live sources and move the dashboard into production.

15/18

Data points available on day one

Tier 1 (free / internal) or Tier 2 (Accor likely already subscribes) — no new procurement required

Section 02

Data Source Inventory

Sources are classified into two tiers based on availability. Tier 1 sources are free or already owned by Accor. Tier 2 sources are platforms Accor likely subscribes to but require verification of access for MEA markets.

Tier 1 — Available Now Free / Internal

Source	Type	Frequency	Feeds in Dashboard
Google Destination Insights	Free	Daily / Weekly	Demand Index, Corridor Demand, Search Demand Chart, Demand Size & Growth signals
Accor Web Analytics (Adobe Analytics or GA)	Internal	Daily	Conversion Efficiency, Site Traffic / Activity, ROAS tracking, audience pool metrics
Accor PMS / CRS	Internal	Daily	Portfolio Occupancy, Net Cancellations, Forward Bookings, RevPAR, corridor-level revenue
Google Trends	Free	Daily / Weekly	Africa Diversion signals, supplementary demand proxy for “[city] hotels” queries
News Feeds / IATA NOTAMs	Free	Real-time	Situation Banner — airspace closures, conflict status, government advisories
Airline Press Releases	Free	As available	Emirates Schedule restoration, Gulf carrier capacity announcements
FlightRadar24	Free	Daily	DXB Daily Flights, approximate flight capacity as workaround for Tier 3 OAG/Cirium data

Tier 2 — Verify Access Accor Likely Subscribes

Source	Type	Frequency	Feeds in Dashboard
STR (CoStar)	Paid	Weekly	RevPAR competitive benchmarking, market-wide occupancy trends, Occupancy Chart
OTA Partner Dashboards (Booking.com / Expedia)	Paid	Weekly / Biweekly	OTA Demand Indicators — search demand, conversion, ranking visibility by corridor
Google Hotel Ads / trivago	Paid	Weekly / Biweekly	Meta Search Indicators — price comparison volume vs baseline, demand signal validation

Key Takeaway

With Tier 1 workarounds for the 3 remaining Tier 3 data points (OAG flight data, Amadeus air search, ADARA hotel search), every data point in the dashboard framework is coverable without new vendor contracts. See the Data Source Mapping document for the full signal-to-source breakdown.

Section 03

MVP Scope — What Ships in Week 1 Phase 1

The MVP is deliberately low-tech. The goal is to get real numbers into the dashboard within one week, with zero automation dependency. A team member manually collects data from available sources and updates the dashboard file directly.

Manual data collection process — an analyst pulls numbers from Google Destination Insights, Accor PMS exports, Google Trends, and news sources on a daily or weekly cadence depending on the signal
Dashboard updated with real numbers — synthetic data arrays in the HTML/JS are replaced with actual values; no structural changes to the dashboard needed
Situation banner updated manually — conflict status, airspace closures, and government advisories curated from IATA NOTAMs and news feeds
No automation required for V1 — the dashboard is a self-contained HTML file; updating it means editing the JavaScript data arrays at the bottom of the file
Daily refresh cadence — KPI cards and situation banner updated daily; charts and corridor tables refreshed weekly

Technical Note

The dashboard is a single static HTML file with inline JavaScript. All data lives in JS arrays and objects at the bottom of dashboard.html. To update, an analyst opens the file, replaces the numbers in the clearly labeled data sections, saves, and deploys. No build tools, no server, no database.

Deliverable

Static HTML dashboard refreshed daily by analyst, hosted on a shared drive or internal web server, accessible via direct URL.

Section 04

Phase 2 — Automation (Weeks 2–4) Phase 2

Once the MVP is validated with real data, Phase 2 removes the manual bottleneck by automating data collection and dashboard updates.

Python ETL scripts — scheduled jobs that pull from Google Trends API, parse Google Destination Insights exports, and ingest Accor PMS data feeds
Automated daily JSON generation — ETL outputs structured JSON files (demand.json, corridors.json, kpis.json) that mirror the dashboard's data schema
Dashboard reads from JSON — a small code update replaces hardcoded arrays with fetch() calls to local JSON files; dashboard auto-refreshes on page load
Hosted deployment — dashboard and JSON files served from an internal server or Cloudflare Pages with automatic deployment on data update
Error handling & fallbacks — if an ETL job fails, the dashboard displays the last successful data with a “last updated” timestamp

Hosting Decision Required

Accor to confirm preferred hosting: internal infrastructure (Accor IT managed) or external (Cloudflare Pages / Netlify — faster to deploy, Digitas managed). See Open Questions below.

Section 05

Phase 3 — Full Integration (Month 2+) Phase 3

Phase 3 transforms the dashboard from a monitoring tool into an integrated intelligence platform with automated alerting and historical analysis capabilities.

API integrations with STR and OTA platforms — direct data feeds from CoStar, Booking.com partner portal, and Expedia partner dashboards for automated competitive intelligence
Automated alerting — email and/or Slack notifications triggered when demand signals breach predefined thresholds (e.g., corridor demand drops >15% week-over-week, cancellation spike detected)
Historical data warehouse — all daily snapshots stored in a lightweight database for trend analysis, enabling “same period last crisis” comparisons and recovery pattern modelling
Role-based access — different dashboard views for different stakeholders: executive summary for leadership, full operational detail for revenue management, media-focused view for marketing
Exportable reports — one-click PDF generation for weekly stakeholder briefings

Section 06

Implementation Timeline

Phase 1 Week 1 — Manual MVP Go-Live

Replace synthetic data with real numbers from Tier 1 sources. Analyst performs daily manual data pull. Dashboard deployed to shared access point. Situation banner curated from live news and NOTAMs.

Phase 2 Weeks 2–4 — ETL Automation

Python ETL scripts deployed for Google Trends API, PMS export ingestion, and Destination Insights parsing. Dashboard updated to read from generated JSON files. Hosted on internal server or Cloudflare Pages.

Phase 3 Month 2 — API Integrations + Alerting

Direct API connections to STR (CoStar), OTA partner portals. Automated threshold-based alerting via email and Slack. Tier 2 source access confirmed and integrated.

Phase 3 Month 3 — Historical Warehouse + Reporting

Data warehouse operational with daily snapshots. Historical trend analysis enabled. Role-based access deployed. PDF export for weekly stakeholder briefings.

When	Phase	Milestone	Dependencies
Week 1	Phase 1	Manual MVP go-live with real data from Tier 1 sources	Accor PMS data access, analyst assigned
Weeks 2–4	Phase 2	ETL automation, JSON-driven dashboard, hosted deployment	Hosting decision, PMS export format confirmed
Month 2	Phase 3	API integrations with STR & OTA platforms, automated alerting	STR subscription confirmed, OTA partner portal access
Month 3	Phase 3	Historical data warehouse, role-based access, PDF export	Database provisioning, stakeholder role definitions

Section 07

Team & Responsibilities

Team	Responsibilities	Key Deliverables
Digitas	Dashboard development and maintenance, ETL script development, hosting setup and deployment, data schema design, Phase 2–3 automation engineering	Dashboard HTML/CSS/JS, Python ETL scripts, JSON data pipeline, deployment infrastructure
Accor Revenue Management	PMS/CRS data access provisioning, STR (CoStar) subscription verification for MEA markets, RevPAR and occupancy data validation, forward booking data feeds	PMS export credentials/access, STR access confirmation, data validation sign-off
Accor Digital	Web analytics platform access (Adobe Analytics or Google Analytics), campaign platform data (DV360/SA360), audience pool and retargeting list metrics	Analytics read access, campaign performance data feed, ROAS benchmarks
Accor Corporate Comms	Situation banner content curation, conflict status assessment, airspace closure tracking, government advisory monitoring	Daily situation status updates, escalation alerts for major developments

Section 08

Open Questions for Accor

The following items require input from Accor stakeholders before or during Phase 1 launch. Answers will shape the automation approach in Phase 2 and integration scope in Phase 3.

Question 01

Does Accor subscribe to STR (CoStar) for MEA markets? If so, who owns the account and can we get read access for dashboard integration?

Question 02

Which web analytics platform is used for all.accor.com — Adobe Analytics or Google Analytics? What level of API access is available?

Question 03

What PMS system is used across MEA properties — a single unified system or multiple systems by region/brand? What export formats are available?

Question 04

Preferred hosting model: Accor internal infrastructure (IT-managed) or external platform (Cloudflare Pages / Netlify, Digitas-managed)?

Question 05

Who will be responsible for daily situation banner updates? Should this be Accor Corporate Comms, a regional team, or automated from a news feed?

Question 06

Desired access control: public URL accessible to all Accor staff, or authenticated access restricted to specific teams and stakeholders?

Blocking Decisions

Questions 1–3 determine which data sources are available for the MVP. We recommend scheduling a 30-minute call with Accor Revenue Management and Accor Digital to resolve these before Week 1 kick-off. Questions 4–6 can be resolved during Phase 1 without blocking the MVP launch.

Section 09

Cost Summary

The phased approach keeps upfront costs at zero for the MVP, with investment scaling only as the dashboard proves its value in production.

Phase 1

MVP (Week 1) — All Tier 1 sources are free or internal. Existing team handles manual data collection. No new tooling required.

$0

Phase 2

Automation (Weeks 2–4) — One-time development cost for Python ETL scripts, JSON pipeline, and hosted deployment setup.

$5–8K

Phase 3

Full Integration (Month 2+) — API integrations, alerting system, data warehouse, role-based access. Plus ongoing data subscription costs if applicable.

$15–25K

Note on Data Costs

Tier 2 sources (STR, OTA partner dashboards, Google Hotel Ads) may already be covered by existing Accor contracts. If confirmed, the Phase 3 cost estimate drops significantly as no new data subscriptions would be required — only integration development.