What is Unstructured Data?
Data that is defined as unstructured is growing at 55-65 percent each year.
Unstructured data can’t be easily stored in a traditional column-row database or spreadsheet like a Microsoft Excel table. It’s therefore more difficult to analyse and not easily searchable, which is why it wasn’t useful for organizations until recent years. Today, however, we have unstructured data analytics tools powered by artificial intelligence (AI) that were created specifically to access the insights available from unstructured data.
Examples of Unstructured Data
Think about any kind of data that doesn’t have a recognizable structure and you have identified an example of unstructured data. Here are some of the most common examples of unstructured data:
Emails: Although emails include date, sender and recipient addresses and subject information, the text in the body of the mail doesn’t follow a format. Some refer to emails as semi-structured data.
- Text files
- Video files
- Audio files
- Webpages and blog posts
- Social media sites
- Call center transcripts/recordings
- Open-ended survey responses
Source: Bernard Marr | Forbes