Evolving into a digital-first business is becoming increasingly important for organizations to remain resilient and competitive. As enterprises move along this journey, data availability and digitalization are key levers to ensure business resiliency. However, while digital-first enterprises need to be data driven, over 80% of enterprise data is locked in unstructured formats and is unavailable for downstream applications. Intelligent Document Processing (IDP) helps overcome these challenges by leveraging AI to streamline document processing and automate the conversion of unstructured data into digital formats.
Using a five-step approach to adopt and increase the use of IDP solutions, Everest Group’s Intelligent Document Processing Playbook taps into various frameworks, such as the Everest Group Pinnacle Model® and the Capability Maturity Model (CMM), to enable enterprises to envision where they want to get with automating data capture, create a business case for adoption, identify the capabilities they need to develop to get there, and plot the paths for their journeys. It also outlines a framework for enterprises to develop a business case for IDP solution adoption. The Playbook also describes IDP market characteristics, challenges to IDP adoption, best practices in the IDP journey, enterprise case studies, and future outlook.
Scope
All industries and geographies
Contents
In this report, we:
Define IDP and describe its advantages
Describe IDP market characteristics
Outline an enterprise IDP journey
Examine the challenges and best practices in the IDP journey
Intelligent Document Processing (IDP) products play a vital role in enterprises’ automation technologies portfolios. IDP leverages Artificial Intelligence (AI) technologies such as Optical Character Recognition (OCR), computer vision, Natural Languag…