In this article, you will get guidance on what to do and what not to do when building your topic mapping.
Datamaran’s topic mapping feature allows you to identify the most significant ESG issues for your company or sector among a universe of 100 pre-set ESG topics and tailor those issues to your company’s existing strategy.
- Study all the universe of Datamaran topics.
- Only exclude the issues that are undeniably not relevant or applicable to your business.
- Use as a starting point the data-driven, industry-specific topic mappings curated by our data scientists (you can learn where to find them here).
- Word your issues name and description in a way that is understandable both internally and externally.
- Do not put the same topic in two different issues because it may hinder the statistical soundness of the analysis.
- Bear in mind that adding an additional topic under an issue will spread and dilute the results. That’s why we recommend:
- To include sub-topics or secondary topics only if you are looking for specific references to these topics. Example: add the “forced labor” topic under the “human rights” issue only if you want to consider specific references to “forced labor,” not if you want to consider human rights in general.
- Not to try creating a new topic by mixing topics tracking different concepts. Example: do not put both “digitalization” and “employee wellbeing” to track how digitalization impacts employee wellbeing.
- Restrict the number of extra topics developed with the “topic builder” feature to the essential ones. Unlike Datamaran topics, the topics built with the topic builder will be scored only for the Benchmark source at the launch, and the News source ultimately. So having a disproportionate number of these may hinder the statistical soundness of the analysis.