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Automated Data Extraction From Annual Reports
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Does your firm run on data insights? Find out how an investment advisory firm automated data extraction from complex, unstructured financial reports using Intelligent Document Processing (IDP).
It’s a known fact that P&ID’s diagrams are of great importance to the oil and gas industry. They hold critical information concerning the layout of an engineering process flow along with the interconnected types of equipment. Over a period of time, the landscape of handling P&ID diagrams has witnessed a drastic change. With digitization in place, several vision problems were observed such as resolution, orientation, and the existence of noisy textual information. Intelligent Data Capture
The reality is that Banks exchange a lot of information with other companies that they have no control over. They get annual reports from customers, they need to validate payslips for processing loans and there is no global standard for that. A lot of time they need to process collateral documents which comes in thousands of variations from a growing list of hundreds of providers. This can be possibly due to the unprecedented challenges faced by banks: from in-branch applications for accounts to cheques, loans, monthly statements, and other services, much of their daily activities remains mired in paper and manual processes. Also, Most banks have switched to online applications where they control the entry of the data. The challenge is for the documents that come from other companies that they do not control But, what’s the problem with papers? In today’s fast-paced consumer culture, delays become a liability to any industry that provides customer service. Cheques and forms have ...
In keeping with our spirit of continuous learning and improvement, we made some great upgrades to our IDP platform over the summer. As you know, Infrrd empowers our clients with solutions for intelligent work that take advantage of end-to-end process automation, a critical part of which is automated data extraction. Our intelligent document processing (IDP) platform leverages a machine learning (ML) model that any user can use to create a powerful data extraction solution delivering efficiencies and cost savings far beyond the reach of standard optical character recognition (OCR) systems. Data extraction can get extremely messy and necessitates human-in-the-loop intervention to improve the efficiency of the algorithm, although ensuring 100% accuracy can be a challenge. Our improved Audit feature addresses this aspect by making it easier for users to extract and review corrected data. Read the complete article
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