Our client is a Fortune 100 life insurance provider. The client had ten years of application data available in a digitized format for modeling of mortality risk. It wanted to digitize an additional 15 years of applications (~1 million forms) to improve survival prediction. To accomplish this, the client needed a robust and automated process to assess data quality and ensure that digitized applications (post-OCR) meet a certain standard for modeling purposes.
The client wanted us to-
The initial prototype helped in making a go-no-go decision with regards to scaling the OCR process and justifying millions of dollars of investment
The final solution is able to process and validate 50k digitized policies in less than 2 hours