Augmented analytics
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.
We’re upgrading our contact centre to make it quicker and easier for you to speak to the right member of our team.
From Thursday, 30 to Friday, 31 October, our phone lines will be temporarily unavailable while we upgrade our systems. For any urgent enquiries during this time, please email membership@theiet.org and we’ll get back to you as soon as possible.
From Monday, 3 November, we’re moving to one central phone number for all enquiries. This change will make it easier to reach the right team quickly and improve your experience.
Thank you for your patience as we improve how we connect with you.