Unstructured data refers to information that does not have a predefined format or organization. This type of data can include text, images, videos, and social media posts, making it difficult to analyze using traditional data processing methods. Examples of unstructured data are emails, customer reviews, and web pages. In contrast to structured data, which is organized in rows and columns, unstructured data requires advanced techniques like natural language processing and machine learning for effective analysis. Businesses often leverage unstructured data to gain insights into customer behavior and trends, enhancing decision-making and strategy development.