Structured Data Analysis

What is Structured Data Analysis?

Structured data analysis is a process of organizing and analyzing data that is structured in a predetermined format. Structured data is data that is organized in a logical, organized way and is easy to process and analyze. It typically includes information that is organized in tables, charts, or other types of data sets, and is usually stored in a database or spreadsheet.

Structured data analysis involves organizing the data in a way that makes it easy to understand and draw conclusions from, and using statistical and analytical techniques to identify patterns and trends in the data. The goal of structured data analysis is to extract insights and information from the data that can be used to inform business decisions or solve problems.

Structured data analysis is often contrasted with unstructured data analysis, which involves analyzing data that is not organized in a predetermined format and may be more difficult to process and analyze.

See Also

• IT Strategy (Information Technology Strategy)
• IT Governance
• Enterprise Architecture
• Chief Information Officer (CIO)
• IT Sourcing (Information Technology Sourcing)
• IT Operations (Information Technology Operations)
• E-Strategy