Information management is an organization-wide program to control information across people, processes, and technology. Data management is a subset of information management that refers to treating data as valuable through its lifecycle.

Unstructured data is managed through enterprise content management systems to make it structured, accessible, and meaningful.

Data Management is a set of disciplies that include data governance, data architecture, data modelling, data storage, data security, data integration, data warehousing, business intelligence, data quality, and more.

Structured data is formatted for further processing through the Big Data pipeline. Unstructured data lacks organization and formatting.

Analyzing unstructured data requires advanced tools and technical expertise. Given that the majority of data is unstructured, being able to handle it offers a competitive advantage.

Intelligent automation is the automation of enterprise business processes with the support of analytics, data, machine learning, and artificial intelligence.

Intelligent automation automates all manual steps in a business process.

Automation can be broken down into hard automation (fixed sequential steps), programmable automation (flexible steps with prebuilt logic), and soft automation (adaptable steps with greater tolerance for real-world non-conformities).

Intelligent automation is the use of artificial intelligence and robotic process automation to automate manual steps in business processes.

The main purpose of intelligent automation is to orchestrate end-to-end automation in business processes.