Generative AI is turning analytics into a conversation. Instead of writing SQL or waiting for a report, users ask questions and get answers with sources and explanations.
Augmented analytics uses AI to generate insights, suggest questions, and explain results in plain language. That doesn't replace your data team—it lets them focus on strategy, governance, and complex modelling while business users get instant, trustworthy answers for day-to-day questions.
Trust is critical. The best AI-powered analytics platforms cite sources, show how they derived an answer, and allow drill-down. When users can verify an insight against the underlying data, adoption goes up and errors are caught early.
In 2025, expect AI-native platforms to go further: proactive alerts ("this metric moved significantly"), natural-language report generation, and deeper integration with your existing tools. The goal remains the same—clarity from complexity—but with less dependency on specialised skills.