Which statement best describes unstructured data?

Unstructured data refers to information that does not conform to a predefined data model or structure, making it more complex and challenging to analyze compared to structured data, which is neatly organized in rows and columns, like a database or spreadsheet. This type of data can include text documents, emails, social media posts, images, audio, and video files—essentially any format that does not fit into a traditional structured database system.

The nature of unstructured data means that it often requires advanced techniques, such as natural language processing or machine learning, to derive insights from it. As a result, unstructured data is typically more voluminous and varied than structured data, offering rich information that can be exploited for strategic decision-making and competitive advantage but also posing challenges in terms of storage, management, and analysis.