CDP

CDP is an alternative data provider in the ESG & Climate category^[2], listed in the open provider register. Its coverage is focused on Global^[2]. It has been operating since 2002^[1].

Global environmental disclosure system: corporate climate, water and forest data from thousands of companies.^[1]

Overview

CDP sells to institutional buyers — hedge funds, asset managers and quant teams — looking for esg & climate signals with a track record they can backtest. The register lists its delivery channels as Bulk^[2]. Its listings sit in the Custom / enterprise price band^[2].

Most alt-data engagements follow the same arc: a free sample, a historical backtest, a paid pilot and — if the signal survives — an enterprise license. The sections below describe what that process looks like for this kind of data, and what separates a usable product from an expensive story.

The signal

Environmental performance data spanning corporate disclosures of emissions and resource use plus independent measurement of physical emissions from assets worldwide. The category combines self-reported baselines with sensor- and satellite-derived ground truth to quantify climate exposure.

Disclosure systems collect scope 1-3 greenhouse gas inventories, energy mix, water withdrawal and deforestation exposure from tens of thousands of companies annually, scored on standardized frameworks. Independent trackers estimate facility-level emissions from satellites, remote sensing and machine learning across hundreds of millions of assets, with monthly updates. Derived products include portfolio carbon footprints, transition-risk screens and methane or plume alerts.

Physical measurements frequently contradict reported inventories, creating relative-value signals when asset-level data reveals underreported emissions at specific operators. Analysts track decarbonization progress — steel mill conversions, grid intensity, flaring activity — as leading indicators of cost structure, regulatory exposure and capital expenditure. Climate events mapped against supplier locations anticipate earnings disruptions that consensus models miss. Buyers rarely use a single alt-data source in isolation: this kind of signal is typically combined with fundamental estimates or other datasets to build a composite edge.

Collection, delivery and evaluation

Non-profit disclosure platforms run annual questionnaire cycles aligned with major reporting frameworks and license responses with scores to investors. Measurement coalitions fuse satellite spectra, night lights, thermal anomalies and sector models to attribute emissions to individual assets without self-reporting bias. Quants join both layers to corporate hierarchies and supply-chain graphs, calibrating reported figures against measured ones.

According to the register, CDP makes its data available via Bulk^[2]; delivery ergonomics matter, and buyers typically start with an API sample and move to bulk delivery (S3, Snowflake or Parquet) once a signal is validated. Before licensing data from CDP, a fund's data-sourcing team will typically check: history depth and survivorship, point-in-time correctness, coverage (the register lists Global)^[2], entity resolution to tickers or companies, and the compliance story behind collection. A practical sequence: request a free sample with a data dictionary, reconstruct a known historical window, and only then discuss licensing terms.

Self-reported data suffers from selective participation, inconsistent boundaries and greenwashing incentives, so cross-sectional comparisons demand care. Modeled emissions inherit assumptions about utilization and fuel mix that can lag reality by months. Regulatory frameworks differ by jurisdiction, complicating global screening.

Who uses it

Sustainable-investment teams use disclosures and scores for portfolio construction and engagement; credit and insurance analysts assess physical and transition risk; commodity traders monitor industrial activity through measured emissions. Corporate buyers apply the same data to supply-chain decarbonization programs.

Questions to ask CDP

How are scores normalized across sectors and disclosure completeness? What is the uncertainty range on asset-level emission estimates versus reported values? How quickly do monthly estimates update after operational changes? What share of a portfolio's footprint rests on estimated rather than disclosed data? How do providers handle restatements and methodology changes?

History and landscape

Voluntary carbon disclosure began in the early 2000s as a investor-led questionnaire project and grew into the dominant global disclosure system used by more than twenty thousand organizations. Independent measurement matured in the 2020s as satellite coverage, cloud computing and machine learning made asset-level estimation feasible, culminating in open datasets covering every significant emitting infrastructure on Earth.

Within that lineage, CDP is one of 7 providers listed in the ESG & Climate category of the register; comparing their coverage, history depth and delivery is the fastest way to map the competitive landscape.

Compliance and legal considerations

Disclosure regimes such as CSRD in Europe and climate-reporting rules elsewhere are converting voluntary data into audited obligations, raising quality but also litigation sensitivity around claims. Buyers should verify that licensed datasets respect confidentiality choices made by disclosing companies.

Complementary signals

Buyers of this signal typically combine it with these adjacent categories — cross-coverage lowers single-source risk and widens the alpha surface.

Further reading