Structured vs. Unstructured Data: What's the Difference?

Structured vs. Unstructured Data: What's the Difference?

Unstructured data is potentially the most valuable and insightful type of data, but it's also harder to decipher. Unstructured data contains the potential to provide fundamental insights into customer thoughts and behaviour. Interpreting this data and translating it into ...

Document Digitization With OCR and Deep Learning AI

At one point, Optical Character Recognition (OCR) was the most groundbreaking solution in the world of document processing. ...

OCR Table Extraction Using Deep Learning (DL)

It’s no secret. The skyrocketing influx of unstructured data is killing the workforce. You can find this data in emails, ...

Automate Hazardous Data Detection in Safety Data Sheets

Some data consists of customers’ numbers; others show when a bill is due. In this article, we’ll specifically dive into ...

What is Intelligent Character Recognition (ICR)

Consider this idea for a moment: data is king in your organisation. Data allows you to visualise relationships between what ...

Introduction to PDF Structure Extraction

Understanding document structures is a crucial step in creating the best data extraction. Why? Extracting document ...

4 Proven IDP Use Cases (Intelligent Document Processing)

Though modern-day technology harnesses many benefits of a digitised workplace, the biggest challenge faced by businesses ...

The Value of Text Mining For Unstructured Document Data

There’s no question that technology has rapidly accelerated how much data is being created. With more information being ...

Why is Data Extraction Still an Unresolved Issue?

While technology is developing at such a rapid pace, many enterprises remain stuck in the past with outdated tools, and ...

Data Extraction Tools: Difference Between Understanding and Memorising Data

Is there a difference between understanding and memorising "something"? Absolutely. But does this still count for ...