Raising the quality of insights in agentic analytics
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.
TL;DR
- Agentic AI is making analytics more accessible and promises workflow automation.
- Fewer than half of agent-generated insights currently lead to business improvement.
- Insight leaders achieve over 70% of agent insights leading to business improvement.
- Lack of business context (55%) and fragmented data (45%) are primary reasons for substandard insights.
- Insight overload prevents effective evaluation and action on agent-generated insights for a majority of organizations.
- Companies are prioritizing AI and data governance (60%) and adding a semantic layer (45%) to improve insight quality.