How to visualize the results of your materiality analysis with Datamaran?

There are two ways to visualize your materiality matrix results: Quadrants and Curves. To make the matrix more actionable and to clearly communicate those actions to stakeholders, Datamaran recommends applying the Quadrants view.

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The Quadrants view presents the issues in four action areas: 

 

  1. Develop strategy & communicate externally
    This quadrant represents the issues of high importance to your company and your stakeholders. These should be considered priorities from a strategy and communication/reporting standpoint.
  2. Communicate internally
    This quadrant represents the issues with higher importance to your stakeholders than to your company. It is important to share this information internally to ensure that relevant issues aren’t being under-prioritized, or at least to have a clear rationale as to why they are deemed less important by your company.
  3. Continue internal efforts
    This quadrant represents the issues with higher importance to your company than to your stakeholders. Because of the relevance to your business, maintaining focus on these issues is likely important, though they may be less relevant for in-depth communication/reporting.
  4. Keep under observation
    This quadrant represents the issues that are of lower importance to your company and your stakeholders. Given the dynamic nature of these issues, it is important to apply an ongoing monitoring approach through Dynamic Analysis  to assess any changes in importance that may warrant a more action-oriented approach.

Datamaran also provides the possibility to visualize the matrix results in a more traditional Curves view, for which you can establish  the  relevance of the issues by tailoring the prioritization areas :

  1. High priority issues
  2. Medium priority issues
  3. Low priority issues

You are able to switch between the two views by clicking the toggle below the 'Show Labels' checkbox.
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Please note that once you have started the monitoring process, you will not be able to change how the results are visualized for that particular analysis. If you want to change the view of an analysis that is being monitored, you can duplicate it to adjust the view.