Anyone can claim a living wage. We show you the number behind it.
Deep Analysis is the data-heavy end of what we do — wage benchmarking, geospatial mapping and factory-level research, built to survive a regulator's questions, not just a boardroom slide.
01 — What We Do
Six kinds of question we answer with data, not opinion.
Every engagement is built around your actual supplier and payroll data — not industry averages.
Wage & living-wage benchmarking
Actual pay vs. living wage and minimum wage, by factory and by role.
Geospatial & tier mapping
Supply chains traced from Tier 1 factories down to Tier 4 raw materials.
Methodology & audit design
The framework behind the numbers, built so it holds up under scrutiny.
Factory-level deep dives
Single-brand or single-factory research, gender pay gap and overtime included.
Regulatory readiness
CSRD, CSDDD and DPP data, structured the way regulators expect to see it.
Board-ready reporting
Findings turned into something a board, investor or press office can actually use.
02 — Why It Works
Because "we're committed to fair wages" isn't a number regulators or press will accept.
Sustainability claims are being checked harder every year. Deep Analysis exists so that when someone asks for the evidence, you already have it.
01
Data over claims
We start from payroll and supplier records, not surveys or self-reported estimates — so the number holds up when it's challenged.
02
Built for regulation
CSRD and CSDDD were written with this kind of evidence in mind. We structure findings to match, not translate them after the fact.
03
A method proven at scale
The same benchmarking logic already runs across 1,000+ suppliers inside The Chain — applied here to your specific set.
03 — In Practice
Minimum wage & overtime, factory by factory.
Minimum wage & overtime deep dive
Payroll data collected across a fashion brand's Tier 1 suppliers, benchmarked against local living wage, minimum wage and overtime standards. [Client name withheld — confirm before publishing.]
40,000+
Workers analysed
12
Countries covered
[X]
Factories flagged
// figures shown are illustrative — confirm final numbers before publishing
Paid Wage vs. Living Wage Benchmark
04 — Geo Intelligence
Now with satellite eyes on the ground.
In partnership with The Geo Company, we layer geospatial and remote-sensing data over supply chain findings — so a facility isn't just a name and an address, it's something you can actually see.
Satellite and geospatial data, added to every deep dive.
Accessibility, environmental change, thermal activity and climate exposure — all visible from above, and all addable to a Deep Analysis engagement without a single extra site visit.
Partner
Harriet Filby
The Geo Company
"[Add a short line from Harriet on the partnership and what geospatial data adds to supply chain due diligence.]"
01
Accessibility & logistics
Road and pedestrian network analysis — travel times, transport connectivity and proximity to logistics infrastructure.
02
Change monitoring
Repeat satellite observations track site expansion, vegetation loss and change around a facility over time.
03
Night-time imagery
Night-time light data gives a coarse read on illumination and activity around industrial sites.
04
Heat signature
Thermal infrared imagery flags surface temperature and heat emissions from structures and surrounding land.
05
Vegetation & water health
NDVI and NDWI analysis identifies vegetation and water impact around a facility.
06
Climate impacts
Flood, drought and extreme heat exposure, assessed for operational and supply chain resilience.
// concept sample — illustrative only, not validated
05 — How We Work
Four stages, from raw payroll to a finished brief.
01
Collect & verify
Payroll, supplier lists and factory records, checked for gaps before analysis starts.
02
Benchmark
Wages measured against local living wage, minimum wage and overtime standards.
03
Map & flag
Geospatial tier mapping surfaces where the risk actually sits in the chain.
04
Brief & report
Findings delivered as a board-ready brief, plus the regulatory-ready data behind it.