Datamaran's materiality analysis leverages artificial intelligence and vast amounts of data to allow companies to identify their organization's material issues.
This revolutionary materiality analysis process is based on:
- Credibility – confidence in results that are data-driven and evidence-based
- Reach – analysis of a broader range of data sources and stakeholder voices
- Efficiency – time and resource-effective without compromising quality and accuracy
- Transparency – an auditable trail of evidence supporting the analysis
- Relevance – analyses feeding into key business processes, including risk management
Datamaran data sources represent different stakeholders and large volumes of data, aggregated into one. The materiality assessments can be based on thousands of data points, from corporate reports, mandatory and voluntary regulations to online news.
Following the methodology, the system aggregates the data and computes results to ensure objective consistency and transparency. Companies are always in control of the key parameters that drive the outcomes – peer groups, jurisdictions, regulators, and news web sources – and can apply different weights of importance to each component.