The top reason analytics agents produce substandard insights is a lack of business context, prompting investment in semantic layers and governance, rather than bigger models
In just a few years, generative AI has changed the face of enterprise analytics, notably by making analytics accessible to users across the organization. Agentic AI promises to do even more, by automating entire workflows and taking actions based on agent insights. But there is a problem: The quality of insights that agents currently generate leaves much to be desired
Fewer than half of agent-generated insights at the organizations surveyed for this report lead to business improvement. And while most respondents praise the quality of their agents' descriptive insights, reviews of their prescriptive insights—those on which actions are based—are decidedly mixed
