How to Handle Unstructured Data Entering Your Organization

What good is data if you can’t analyze it?

Unstructured data entering your organization may not be utilized to its fullest. Missing data, misplaced data and manual steps to process said data creates a silo of less-than-usable information that your team could be recruiting to make critical decisions for your business.

Let’s work on transforming how your company handles incoming data – structured, semi-structured and unstructured alike.

Unstructured Data is Common

Human-generated unstructured data enter your workflows in the forms of text files, email attachments, spreadsheets, social media data, text messages, and media files as examples.

Machine-generated unstructured data can enter as scientific data like weather and atmospheric information, surveillance media, and land data from surveys to name a few.

While you can’t exactly control all of the data entering your organization, you can prepare for the regularly incoming unstructured data.

This three minute video excels with its explanation of digital transformation and how your team can begin freeing up resources dedicated to manual data entry and distributing incoming paper or digital content.

(As of June 10, 2020: The current version of ABBYY FlexiCapture is 12.3. )

Structured Versus Unstructured Data

One of the most popular questions that our website visitors have after doing web research is “what is the difference between structured and unstructured data?”

This prompted us to create this infographic and blog post on the differences between structured, unstructured and semi-structured data. You can read the full post here. 

Still have questions?

We’d be happy to help in your discovery process. Please reach out to our support team.

*Our team is still fully available for all of your questions during social distancing times. We will get back to you pretty quickly!