Benchmarks
A benchmark layer only works if operators trust how the numbers are built.
This section is intentionally explicit about source type, methodology, sample logic, and what gets labeled as assumption rather than fact.
Visible trust markers
Every meaningful metric shows source type.
Every calculator shows assumptions before it shows confidence.
Every benchmark range should show concept scope, geography, and period covered.
Layer 01
Official UAE Data
Macro, labor, tax, licensing, and business environment context from UAE official sources.
Evidence model
Layer 02
Licensed Market Research
Paid strategic context from Euromonitor and YouGov, supported by JLL and CBRE market insight.
Evidence model
Layer 03
Ashmo Operator Benchmark
Anonymized operator benchmarks built from real submissions once quality and sample thresholds are met.
Evidence model
Layer 04
Model Assumption
Transparent assumptions used inside calculators and planning tools where public data does not exist.
Evidence model
Pilot benchmark plan
Start with a narrow operator cohort, not broad claims.
- 10 to 15 operators
- Clearly defined concept buckets
- Minimum data package with validation rules
- Private comparison note in exchange for submission
- Publish ranges only after sample threshold is met
Quality control
Validation matters more than volume in the early benchmark layer.
- Structural validation before ingestion
- Reasonableness checks against concept norms
- Manual review for suspicious outliers
- Outlier quarantine before publication
- Anonymization before any range leaves the system