AutoDashAI: A Review of AI-Driven Automation in Data Cleaning, Visualization, and Dashboard Generation

With the rapid growth of data across domains, traditional analytics and dashboarding tools have become inefficient due to their heavy reliance on manual data cleaning, visualization selection, and domain expertise. Recent advances in Artificial Intelligence—particularly Large Language Models (LLMs), generative AI, and agent-based systems—have enabled partial automation of these tasks. Automated analytics now focuses on three core stages: intelligent data preparation and cleaning, AI-driven visualization and dashboard generation, and automated narrative and insight extraction. These developments form the foundation for systems like AutoDashAI, which aim to provide end-to-end, interactive, multilingual, and explainable analytics with minimal human intervention.