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Our Double Materiality data-driven approach

The Double Materiality module helps you prioritise the topics that are material to your business and your stakeholders across the value chain, using evidence-based data. You assess the Impacts, Risks and Opportunities (IROs) that matter most, so you can focus your reporting and your strategy where it counts.

The module draws on objective data to identify the risks and opportunities tied to your material topics, so you can decide where to act and what to disclose.

How the assessment works

A double materiality assessment in Datamaran runs in a few stages:

  1. Screen topics to narrow the long list to the ones most likely to be material. See Using the Topic Screening to identify relevant topics.
  2. For each included topic, choose a materiality path. You can conclude a topic is material top-down, at topic level, or assess its IROs bottom-up. Both paths can be used in the same analysis. See Choosing a topic's materiality path: top-down or bottom-up.
  3. For bottom-up topics, and for any IRO routed to bottom-up from a top-down topic, assess the IROs and set thresholds to decide what is material. See [Assessing IROs and their criteria] and Defining the IROs materiality thresholds.
  4. Review your material set in the Materiality Review and Material Overview tabs, and export it for reporting.

Powered by Datamaran's ontology

The module is built on Datamaran's ontology. It uses AI to analyse millions of data points from corporate reports, regulations and media, so your assessment is based on objective evidence.

Flexibility through custom fields

You can add your own labels with Custom Fields. You can create and assign fields to specific IROs to match your internal nomenclature. See Managing custom fields.

Viewing through the ESRS lens

You can view and map your IROs using the ESRS lens, so your analysis lines up with the European Sustainability Reporting Standards (ESRS) and supports your CSRD reporting. See Mapping IROs to ESRS.

Note: citing Datamaran in your report supports the credibility of your ESG disclosures, because the assessment is based on objective, evidence-based data.