Analytic Architectures: Approaches to Supporting Analytics Users and Workloads
This report proposes that there are four main types of Intelligences designed to turn data into information and information into insights and action: business intelligence (BI), analytic intelligence, continuous intelligence, and content intelligence. In the next decade, BI leaders will need to embrace all four types of Intelligence to deliver BI solutions that deliver lasting value to their organizations.
There is a natural tension between business intelligence and analytic intelligence. The former represents a top-down approach to delivering insights while the latter represents a bottom-up approach. Business intelligence provides casual users with reports and dashboards populated with metrics that represent business goals and objectives. Analytic intelligence uses ad hoc query tools to evaluate new plans or proposals and answer unanticipated questions. Self-service tools and processes are designed to help close the gap between top-down and bottom-up BI processes, but often are not properly implemented, leading to unfortunate side effects.
Continuous intelligence enables organizations to compete on velocity while providing a mechanism to consume ever-larger volumes of data. It also bridges the gulf between data and processes, providing process context to metrics in reports and dashboards and, in some cases, automating processes using analytical rules. Content intelligence provides users with an intuitive interface to explore data of all types, including numeric and document data, without having to first design a schema to house the data.
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