What is financial data extraction?
Nanonets
JULY 26, 2023
However, this manual approach is time-consuming, error-prone, and inefficient, especially when dealing with large volumes of financial documents. It not only increases the risk of data entry errors but also hampers productivity and limits the ability to leverage data for strategic insights. from 2020 to 2027.
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