Webinar

The foundation of CSRD: How to master the double materiality analysis

Published on  
August 30, 2024
Webinar on  
19.2.24 11:43
The foundation of CSRD: How to master the double materiality analysis

The foundation of CSRD: How to master the double materiality analysis

‍Medium-sizedcompanies are facing new challenges with the introduction of the Corporate Sustainability Reporting Directive (CSRD). The dual materiality analysis in particular presents a complex challenge, as it requires a comprehensive analysis of financial and non-financial aspects. Traditional methods quickly reach their limits here, as they are often too complex and lack transparency. However, the use of artificial intelligence (AI) can significantly improve these processes by enabling automated data collection, precise predictive analyses and well-founded decision-making aids.‍

In our exclusive live webinar "From data collection to AI: Successful implementation of the dual materiality analysis according to CSRD", we will show you how you can efficiently digitalize your sustainability processes and pave the way for AI-supported materiality analysis. Find out how modern technologies can help you meet the requirements of the CSRD and gain valuable strategic insights at the same time.

The challenge of dual materiality

Companies have to analyze and consolidate numerous data sources in order to meet the requirements of the CSRD. The manual effort can be enormous, while the resulting analysis often does not provide the desired depth and transparency. By using AI, companies can automate these processes, use central data platforms and carry out a proactive, strategic sustainability assessment.

Specific applications and fields of use of AI in materiality analysis

1. risk assessment: AI-supported analysis and linking of internal and external data to identify significant risks and opportunities.

2. stakeholder analysis: Automated evaluation of stakeholder data to determine relevant topics for the materiality analysis.

3. sustainability reporting: efficient collection and processing of relevant sustainability data for comprehensive and accurate reporting.

4. trend analysis: predictive analyses that forecast and incorporate future developments in relation to key sustainability aspects.

5. holistic assessment: Comprehensive assessment of sustainability performance by AI, which integrates and transparently presents all relevant data.


Outlook

Our solution offers SMEs an innovative platform to efficiently and effectively implement the double materiality analysis according to CSRD. By collecting and processing data centrally, companies can optimize their sustainability processes, minimize risks and gain valuable insights into their sustainability performance. Leverage the power of AI to take your sustainability strategy to the next level and meet CSRD requirements with ease.

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