Financial services firms have a number of monthly, quarterly and annual reports (earnings reports, annual reports, proxy statements, management information circulars, etc.) that inform their governance and audit requirements. Extraction of these fields from various data sources and formats (html/pdf) is a manual and error-prone task, yet, incredibly important to determine when an auditor’s independence may be at risk.
Using NLP, a firm can automate the research analyst’s review of over 1000 data points that need to be extracted daily from across thousands of documents for modeling. This will ensure that research analysts can focus on higher-value analyses while the NLP Engine performs the data extraction and analysis manually, factoring in specialist knowledge on financial operations and regulations.
Features: Powerful NLP Engine for Data Extraction
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