Information architecture is the art and science of understanding the objectives of information in the context of the intended audience.
Information Architecture (IA) is the analysis and design of the data used in information systems. We achieve data consistency by:
- Modeling semantics and reference knowledge common to a wide range of artifacts
- Leveraging the semantics to ensure consistency across models and model artifacts
- Using the same semantics as a basis for logical and physical database model generation, software component and service generation, rule development (e.g., in production rule-based systems), etc.
- Logical consistency, validation, and reuse
It’s also about ensuring interoperability within an enterprise and between that enterprise and its trading partners.
IA is the art and science of understanding the objectives of information in the context of the intended audience. IA relates the Business Architecture (what you do as an organization) to the Information Technology (what you capture, store and process). Information Architecture is the high level description of business information and communications which enables the translation of business perspectives to and from IT. Business Strategy and IA are closely related in that IA enables the existing Business Strategy fosters new Business Strategies.