Augmented analytics is an analysis approach that uses existing and emerging software technologies such as advanced statistics, machine learning (ML) and natural language processing (NLP) to develop sophisticated insights from data. Business intelligence (BI), management information (MI) and analytics are three separate though interlocking domains within information technology.
This fact file reviews the terminology around the business intelligence, management information and analytics domains and sets a context for augmented analytics. It introduces the knowledge domain, defines augmented analytics, and discusses the challenges and benefits that it can bring. The intended audience of this fact file includes technology leaders and decision makers, practitioners, business intelligence and analytics communities, and data architects and specialists.