Structural Data refers to information that is organized in a predictable format, making it easy to enter, query, and analyze. This type of data is typically found in databases and spreadsheets, where it is arranged in rows and columns. Examples include customer records, product inventories, and financial transactions. Unlike unstructured data, which lacks a predefined format, structural data adheres to a specific schema. This allows for efficient data management and retrieval, enabling businesses and organizations to make informed decisions based on accurate and readily accessible information.