Your analytics and insights teams are supposed to turn data into decisions the business trusts. Instead, more often than not, they’re building decisions using answers no one can verify.
Only 51% of data and analytics leaders trust the AI-generated insights their own teams produce.
That means roughly half the time, the people closest to the analysis don’t fully believe what their tools are telling them. Every unverifiable answer has a cost; not just in analyst time, but in stalled decisions, damaged credibility and, increasingly, money.
This ebook explores three interconnected crises that result from ungoverned generative AI in analytics:
- The evidence gap
- Decision confidence
- Analyst burnout
More importantly, it’ll show you that these problems aren’t isolated. They’re symptoms of the same root issue: generative AI without a deterministic, evidenced core.
This isn’t an insurmountable issue: there’s a proven framework to fix it. Using this framework, you have the power to quickly move from ungoverned AI use to fully auditable analysis.
By reading this ebook, you’ll understand not just what’s broken, but how to measure and close the
evidence gap in a way that protects both your decisions and your budget.
