From Dashboards to Decisions: Rethinking Data & Analytics in the Age of AI

The field of data and analytics is fundamentally shifting from creating retrospective dashboards to building proactive decision intelligence systems that guide real-time actions. This evolution is driven by the rise of AI agents that automate workflows and surface insights, moving beyond the current "copilot" phase of human-AI collaboration. However, successful AI implementation is contingent on having a solid foundation of clean, reliable, and context-rich data, as AI amplifies existing data quality issues. Consequently, the role of human professionals is evolving to focus on higher-value tasks like problem framing, interpreting nuance, and ensuring that AI-driven systems remain human-centered.