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AI can help teams get answers faster. But without a reporting system underneath, it creates mistakes at scale (and sound confident). OWOX Data Marts makes AI accountable – by grounding it in analyst-defined logic and governed data.
⚡ time to resolution
⬇ cost per reporting request
⬆data team productivity
AI analytics tools promise instant answers, fewer tickets, and independence from data teams... And in demos, they often deliver. But in real setups - something breaks.
AI infers business logic instead of using defined metrics
Confident answers hide ambiguity in joins and metrics definitions
Different people get different explanations for the same numbers
Data teams stay accountable for the result – without owning it
The result: speed increases, trust quietly erodes.

⚠️ Metrics definitions lives in each data analyst’s head...

🪨 They are scattered and depend on who asks the question...

❌ Logic or / and SQLs to define is implicit
AI fills the gaps with guesses – and explains them confidently.
That’s not intelligence. That’s risk.


When numbers don’t match, someone is always accountable.