There are three classifications of data: structured, semi-structured and unstructured. While structured data was the type used most often in organizations historically, AI and machine learning ...

In this article, we look at structured data, unstructured data, and how semi-structured data brings some order from potential chaos. And brings benefits to organisations that want to gain value ...

Examples of Structured Data: Customer Database : A table in a CRM (customer relationship management) system containing customer names, addresses, email addresses, and phone numbers, all neatly ...

Semi-structured data is here to stay, and it offers the potential for business advantage to companies that know what to do with it. Mark Whitehorn has advice on how to do that.

Unstructured data can’t be easily stored in a traditional column-row database or spreadsheet like a Microsoft Excel table. ... Examples of Unstructured Data. ... to emails as semi-structured data.

Organizations have also turned to semi-structured formats to store data. Semi-structured data types include XML, HTML, CSV, and even email, and generally contain tags or other markers (rather than ...