Key takeaways

  • ESG consultants operate at the strategy layer; data quality lives at the infrastructure layer — and the two have never had a standard handoff.
  • Consultants build framework, certification, and timeline plans on the assumption that the data their clients describe is the data that actually exists. That assumption fails often.
  • A sound 3–6 month strategy collapses at submission when coverage is below threshold, billing periods have gaps, or critical fields are missing.
  • A data readiness scan gives the consultant and client a factual starting point in 48 hours — the strategy then gets built on facts, not assumptions. EDRA doesn't replace consulting; it makes it work.

ESG consulting is a booming market. Advisory firms offer framework selection, strategy development, stakeholder engagement, and reporting guidance. They're staffed with talented people who understand GRESB, TCFD, ISSB, and every acronym in between. But none of them start by scanning the data. They can't — there hasn't been a system to do it. So they build plans on assumptions about data that may be incomplete, discontinuous, or structurally flawed.

The strategy was sound — the data foundation was not

The result is a pattern that repeats across the industry. A consultant spends 3–6 months developing an ESG strategy. They recommend a certification pathway, timeline, and resource plan. The strategy looks excellent on paper. Then submission day arrives and the data doesn't pass basic integrity checks. Coverage is below threshold. Billing periods have gaps. Critical fields are missing from the data exports. The strategy was sound — the data foundation was not.

3–6
Months of strategy work built on unscanned data assumptions
5/8
Hotels with critical fields missing in one advisory engagement
48h
For an EDRA scan to return what the data can actually support

This isn't a criticism of consultants. It's a structural problem. ESG advisory firms operate at the strategy layer. Data quality lives at the infrastructure layer. There has been no standardized way to assess data readiness before building a strategy on top of it. Consultants have had to assume that the data their clients describe is the data that actually exists. That assumption fails more often than anyone in the industry is comfortable admitting.

The paradox, as a sequence
01
Consultant engaged
Talented advisors set out to design an ESG strategy.
02
Strategy on assumptions
The data is described, not scanned — and assumed sound.
03
Submission day
The plan meets the data for the first time.
04
Integrity failure
Coverage gaps and missing fields sink the submission.

EDRA gives consultants a factual starting point

EDRA gives consultants (and their clients) a factual starting point. Before the strategy is designed, before the certification pathway is selected, before the timeline is committed — run an EDRA scan. In 48 hours, both the consultant and the client know exactly what the data can support. Which assets are ready. Which have coverage gaps. Which have continuity failures. Which are missing structural fields. The strategy then gets built on facts, not assumptions.

The best ESG consultants are already asking for this — they know their reputation is tied to outcomes, and outcomes are tied to data quality.

EDRA doesn't replace consulting — it makes consulting work. The strategy layer needs a data layer beneath it. That's what EDRA provides.

Case Study

An ESG consultant recommended a GRESB submission strategy for a hotel portfolio. EDRA scoring revealed that 5 of 8 hotels had critical fields missing — property type classifications, GFA figures, and occupancy data that are required for benchmarking. This work would have surfaced only after submission rejection, costing the client a full 12-month cycle.

Download Case Study (PDF)

Frequently asked questions

Can ESG consultants fix data problems?

Not on their own. ESG advisory firms operate at the strategy layer — framework selection, certification pathways, timelines, stakeholder engagement. Data quality lives at the infrastructure layer. Consultants have had no standardized way to assess data readiness before building a strategy, so they assume the data their clients describe is the data that actually exists. That assumption is where strategies fail. Consulting needs a data layer beneath it — it doesn't replace one.

What is the consultant paradox?

The consultant paradox is the pattern where a sound ESG strategy fails at submission because the data foundation underneath it was never scanned. A consultant spends 3–6 months building a certification pathway and resource plan that looks excellent on paper, then submission day arrives and the data doesn't pass basic integrity checks — coverage is below threshold, billing periods have gaps, critical fields are missing. The strategy was sound; the data foundation was not.

What is a data readiness scan?

A data readiness scan is a factual assessment of what a portfolio's data can actually support before any strategy is built on top of it. An EDRA scan tells the consultant and the client — in 48 hours — which assets are ready, which have coverage gaps, which have continuity failures, and which are missing structural fields. The strategy then gets built on facts, not assumptions.

Does EDRA replace ESG consultants?

No. EDRA gives consultants and their clients a factual starting point — it makes consulting work rather than replacing it. The strategy layer needs a data layer beneath it; that is what EDRA provides. The best ESG consultants already ask for this, because their reputation is tied to outcomes and outcomes are tied to data quality.