STRUCTURED DATA
Structured data, also known as structured data in English, refers to a type of data that is organized in a specific format and structured according to a defined schema, making it easily searchable, filterable, and analyzable. Structured data, which can be described as datasets with strong and consistent organization, typically operates on a tabular logic; that is, it consists of rows and columns. Rows represent records, while columns represent the attributes associated with those records.
What Is Structured Data?
The question “What does structured data mean?” can be answered most concisely as data that conforms to a standardized format. Being tied to a standard schema enables structured data to be easily processed by machines. The structured data format is particularly critical for analytics, reporting, and SEO. Structured data is used across a wide range of domains, including data, databases (SQL tables), Excel files, CRM systems, e-commerce product pages, and search engine results (schema markup in SEO). For example, in an insurance blog or banking infrastructure, customer, policy, premium, and claims data are maintained in a structured format because such data is continuously reported and analyzed. From an SEO perspective, a structured data example would be as follows: structured data enables search engines to better understand on-page content. For instance, on an e-commerce website, product price, review rating, and frequently asked questions sections are presented in a structured data format. Through these markups, star ratings, pricing information, or answers to frequently asked questions can be displayed to users in Google search results within the Rich Snippets area.
