First, there was a data warehouse – an information storage architecture that allowed structured data to be archived for specific business intelligence purposes and reporting. The concept of the data warehouse dates back to the 1980s and has served businesses well for several decades – until the dawn of the
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.