How to Use Repeatability to Gain 120% Data Processing Efficiency

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This past month, the Infrrd team collaborated with our client, a large financial institution that has a team of about 100 people extracting data from documents manually. This customer processes a huge variety of documents from numerous sources that do not have any fixed format. Every document from every provider comes with its own unique layout and vocabulary of information. These documents arrive at the firm’s mail room where they are combined into packets of hundreds of documents then get handed off to the data processing team. In all, the customer has millions of combinations of layouts from which the team extracts data.

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