Webinar recording

The Foundations of CSRD: How to Master the Double Materiality Analysis

Veröffentlicht am
26
.
September
2024
Webinar am
13
.
May
2024
,
11:00
The Foundations of CSRD: How to Master the Double Materiality Analysis

The Foundations of CSRD: How to Master the Double Materiality Analysis

With the introduction of the Corporate Sustainability Reporting Directive (CSRD), medium-sized companies are facing new requirements. In particular, the double materiality analysis represents 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 opaque. 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 tools.

In our exclusive live webinar “From Data Collection to AI: Successful Implementation of the Double Materiality Analysis According to CSRD,” we will show you how you can efficiently digitize your sustainability processes and pave the way for AI-based materiality analysis. Learn how modern technologies can help you meet CSRD requirements while gaining valuable strategic insights.

The challenge of double importance

Organizations must analyze and consolidate numerous data sources to meet CSRD requirements. 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 Application of AI in Materiality Analysis

1. Risk Assessment: AI-based Analysis and Linking of Internal and External Data to Identify Key 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 predict and incorporate future developments with regard to key sustainability aspects.

5. Holistic Assessment: Comprehensive Assessment of Sustainability Performance through AI, which integrates and transparently presents all relevant data.


Outlook

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

The Foundations of CSRD: How to Master the Double Materiality Analysis
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