6 Things To Know About Data Extraction

6 Things To Know About Data Extraction

According to MIT, data-driven decision-making for businesses can increase their productivity by at least 6%. Yet, barely 0.5% of the world's business data is used and analysed properly. That's where data extraction comes in handy. This post will ultimately explain what data ...

Intelligent Document Processing (IDP): Features & Use Cases

Intelligent Document Processing (IDP) converts documents into structured data by classifying, extracting, and automating its ...

6 Ways Automated PDF Data Extraction Improves Income Verification

When it comes to income verification processes, PDF Data extraction used to be a battle between an employee and their ...

Automated Data Extraction: Will It Last?

Data serves as the foundation for any business' success: fact. The International Data Center (IDC) expects that the global ...

Using IDP to End the Pain of Manual Invoice Processing

According to a study by Aberdeen Group, manually processing an invoice can take as much as twenty days – that’s almost three ...

Intelligent Document Processing for Banks

There’s no question that the world is digitising. Consumers are constantly expecting more convenience, simplified ...

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 ...

Printed vs Digital. Which documents have more value?

Ridding ourselves from using paper is nothing new, especially in a world harnessing eco-friendly solutions – and while it’s ...

Converting Unstructured Data in Documents to Structured Data

While valuable, unstructured data can be a hassle - it’s messy, and it isn’t easy to extract vital data points manually. If ...

Unstructured Data is Inconvenient and Requires an Expert Touch

Unstructured data is potentially the most valuable and insightful type of data, but it's also harder to decipher. ...