Automate and Simplify Data Extraction from Complex Documents
Data extraction is the process of retrieving and converting data from various sources into a usable format for analysis, reporting, or storage. It's a crucial step in data management that enables businesses to feed data into applications or analytics downstream. Data can come from structured sources like databases and spreadsheets or unstructured sources like PDFs, emails, and images. While extracting data from structured sources is relatively easy, unstructured data sources require specialized software or AI-based document processing tools that utilize Machine Learning, Natural Language Processing, and Optical Character Recognition to automate data extraction, categorization, and validation. By automating data extraction, businesses can minimize manual intervention, reduce errors, and improve processing time, freeing up resources for strategic decision-making.

Original Source, https://www.tagxdata.com/autom....ate-and-simplify-dat