uses sophisticated quantitative methods to produce insights unlikely to be discovered through traditional approaches to business intelligence . It spans predictive, prescriptive andAnalytics and BI represent the foundational or traditional way to develop insights, reports and dashboards
While both are valuable to every organization for different reasons, the market as a whole is changing. Instead of being focused on traditional and separately advanced analytics, the technologies are becoming composable and organizing around roles and personas — from business roles who want self-service capabilities to advanced analytics roles looking to program and engineer.refers to the use of ML/AI techniques to transform how insights from analytics are developed, consumed and shared.
Advanced analytics can leverage different types and sources of data inputs than traditional analytics does and, in some cases, create net new data, so it requires a rigorous data governance strategy and a plan for required infrastructure and technologies. For example, data lakes can be used to manage unstructured data in its raw form.