Extracting unstructured data from Non-Financial Disclosures for ESG reports
How Altilia can accelerate financial profiling for corporate clients.
The background
The client needs to integrate unstructured data from various sources (e.g., financial reports, sustainability data) to create and maintain ESG (Environmental, Social, Governance) profiles for corporate entities and update ESG scoring models and tools. The complexity of collecting and analyzing this diverse data slows down the process and limits the bank’s ability to effectively profile companies.
Pain points
The manual process of identifying and extracting ESG data from DNF was slow, limiting the ability to respond quickly to market opportunities.
Manual extraction methods led to inconsistencies in the data, affecting the accuracy of ESG profiling.
Inefficiencies in the data extraction process limited the volume of corporate clients the banks could analyze, constraining their market reach and potential.
The decision to innovate
Optimize the integration of essential information for managing ESG profiles, facilitating lending decisions using ESG Scoring and enabling advanced profiling for more informed marketing strategies
Results & Benefit
- ~80% reduction in document processing time
- ~90% reduction in manual processing errors
- Increase in overall process capacity
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A major European banking conglomerate with a significant presence in Italy, serving 13.6 million customers through over 3,300 branches, alongside an international footprint with over 900 branches and 7.3 million customers.
