Business intelligence has evolved from static dashboards to AI-driven, conversational analytics. The post covers the four types of analytics (descriptive, diagnostic, predictive, prescriptive), the persistent challenges of BI rigidity, expert bottlenecks, and dashboard overload, and introduces the concept of data intelligence — AI trained on an organization's specific data context. It explains how compound AI systems with semantic layers can enable self-service analytics without sacrificing accuracy. Real-world examples from SEGA Europe, Grupo Casas Bahia, and Premier Inc. illustrate measurable outcomes. The post also touches on career paths and compensation for BI analysts in an AI-augmented landscape.
Table of contents
What Is Business Intelligence Analytics?The Evolution of BI: From Dashboards to DiscoveryWhat Do Business Intelligence Analysts Do?The Four Types of Business AnalyticsWhy Traditional BI Falls ShortSort: