信息架构与数据架构之间的区别

1.信息架构：
顾名思义，信息体系结构基本上是您的应用程序或网站中所有信息的结构。具有良好IA的应用程序和网站在结构上是健全的。有效的信息架构具有一些特征，例如有效的沟通，清晰的导航，有效的用户体验等。

2.数据架构：
顾名思义，数据架构是将不同业务部门的业务需求转换或转换为数据和系统需求的过程。有效的数据架构具有一些特性，例如用户驱动的，自动化的，基于共享数据的，高度安全的，简单易用的等。

信息架构和数据架构之间的区别：

Information Architecture	Data Architecture
It refers to practice of deciding how to arrange parts of something so that it can be understood easily i.e., structuring information to meet user requirements.	It refers to structure of logical and physical data assets and data management resources of business or organization.
Its main purpose is to organize content in effective way so that users can easily adjust and understand functionality of product and find everything they want.	Its main purpose is to translate needs of business or organization into data and system requirements as well as to manage data and its flow through enterprise.
It focuses on organizing, structing, and labeling content in more effective and sustainable way.	It focuses on standardizing data collection and usage across enterprise, allowing users to have access to quality and relevant data quickly.
It interprets individual data points into understandable, meaningful and useful information.	It defines collection, storage, and movement of data across organization.
It receives data from data architecture and convert it into real insights.	It takes raw data, make it digestible for information architecture and then send it to information architecture.
Responsibilities of information architect includes identifying user requirements, work on structural design of infrastructure, creating and maintaining web-based sites and applications, etc.	Responsibilities of data architect includes developing solutions to store and retrieve information, analyzing structural requirements for new software and applications, maintain secure databases, etc.
It creates clear paths for website visitors, make it easy to navigate website, increases user experience, etc.	It helps in gaining better understanding of data, provide guidelines for managing data, make data governance a priority, etc.
It is considered with how structured data elements, unstructured content meaning, how user intent combines to form user experience.	It is concerned with structured data and technical aspects of applications and database design.