How to interpret the results of your data-driven double materiality analysis

There are two types of visualizations displayed on Datamaran related to Double Materiality:

The first is in the "Double Materiality" tab of the Analysis module. The results of your data-driven materiality analysis are presented in a tornado graph that compares the financial and impact results for each analysis issue. As well as a table presenting a detailed breakdown of the scores normalized of each of the different sources used in the analysis.

In the chart, each score is classified on a scale from low- (very low) to high+ (very high), each side of the tornado graph represents one of the impact types, the financial impact and impact materiality have a scoring system from 0-1.

The chart allows you to identify those issues that are likely to materially affect your business (financial) and those areas that your business may materially affect (impact).

You can see the results ordered by:

  • Issue relevance, the overall relevance in your materiality analysis. This is the product of the normalized x and y scores in the materiality analysis.
  • Financial materiality, areas more likely to affect your business.
  • Impact materiality, areas that your business affects.
  • Alphabetically ordered

 




 

How to interpret the results of your data-driven double materiality analysis
The detailed table view displays the score of each issue in the different sources used to calculate the Double Materiality scores. It allows you to deepen the results of your analysis and sort them by issue name, issue relevance or source score.
 

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    For the scoring system, the platform searches for evidence across our vast aggregate sources. Utilizing Datamaran topics, it evaluates the extent they have financial impact (financial materiality), versus environmental and social impact (impact materiality).

    In terms of scoring for financial materiality, the system takes into consideration sources such as:

    • Annual financial reports
    • Coverage of mandatory regulations with sanction
    • Voluntary initiatives, introduced by institutions representing the financial markets such as stock exchanges and central banks
    • SASB accounting metrics - as this can be an indication that financial markets and investors are interested as these can have a financial impact

    For impact materiality, we take into consideration coverage within:

    • Sustainability reports
    • Coverage in the news
    • Voluntary initiatives and regulations

    You can also read more details on the methodology used to analyze each source.


    The second visualization is in the "Summary" tab of each issue ("Matrix view" tab of the Analysis module).

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    The data presented here is the same as the data from the tornado graph but it is highlighted individually, at the issue level only. The scores and the scale assigned to financial materiality and impact materiality reflect the scores from the tornado graph.

    If you have started the monitoring process of your materiality analysis, you will also see the dynamic Double Materiality view. This view allows you to see the issue rank changes in your Double Materiality analysis, at the Financial and Impact level; as well as the underlying sources. The rank change is in bold numbers, and the current rank is the number next by. The green shading indicates issues that have increased in importance, while the orange shading are those that have decreased in importance.

    By default, issues are sorted by Issue Relevance. The relevance is the product of the normalized x and y scores in the materiality analysis. You can also sort your issues alphabetically. 


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