Financial spreading analysis FOR MULTINATIONAL BANK

60%

TIME-REDUCTION

400K + images

straight-through processing

10,000 claims

processed daily

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Client

Multinational Japanese bank

Goal

Accurately extract a dozen of key elements from large number of public companies’ Annual and Quarterly Financial Reports (10K & 10Q)

CHALlENGE Overview

Financial Reports for public companies are common source for business analytics.  Given the number of public companies to be analyzed, it is desirable to automate part of the analysis, such as extracting key information from the reports.

The annual quarterly report generally has one or two hundred pages, large paragraphs of unstructured text, and many tables throughout. 

What We did

Singularity used a large number of non-labeled 10K/10Q reports to train a backbone model with industry knowledge. Then, using a small sample of annotated data and Auto-ML technology, we supported business personnel to quickly complete document structuring with zero code.  

Results