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Data quality and reliability
The ESG data sources are extensive and complex, and there are problems such as inaccurate, incomplete and inconsistent data, which affects the accuracy and credibility of digital applications.
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Non-unified standards
Different ESG evaluation standards and frameworks coexist, resulting in difficulties for digital systems in integrating and analyzing data, and it is difficult to form a unified and effective decision basis.
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Difficulty in the integration of technology and business
There are challenges in deeply integrating digital technology with specific ESG business scenarios, and there may be a situation where the technical application is decoupled from the actual demand, and the advantages of digitization cannot be fully exploited.