How to generate a data-driven double materiality analysis in Datamaran?

Datamaran automatically leverages the data it already has from the analysis module inputs to analyze your issues in a double materiality perspective. The double materiality analysis is complementary to your materiality assessment and it aims to reflect both financial materiality and impact materiality of your company. 

For financial materiality, we take into account the following sources: 

  • Financial reports;
  • SEC Filings;
  • SASB Accounting metrics;
  • Mandatory regulations with sanctions;
  • Voluntary policy initiatives from financial institutions and authorities.

For impact materiality, we look at a multi-stakeholder perspective which includes:

  •  sources such as sustainability reports; 
  •  voluntary initiatives; 
  •  news.

To see the results of your double materiality analysis you need to go to the “Double materiality tab’. The results are presented in a tornado graph that compares the financial and impact results for each analysis issue and in a table detailing the issues scores at the source level.

In the chart, each score is classified on a scale from low- (very low) to high+ (very high),  you can see how to read this chart in this article, each side of the tornado graph represents one of the impact types, the financial impact and impact materiality has a scoring system from 0-1.

How to generate a data-driven double materiality analysis?


The table presents a  detailed breakdown of the scores normalized if each of the different sources included in the double materiality analysis.

How to generate a data-driven double materiality analysis? 2