dbt Labs × Bilt Rewards
dbt Labs x Bilt Rewards, $20K/month saved by cutting data scanned 99%
$20K per month cost savings in BigQuery
Expensive trial-and-error to fast, confident incremental models
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Why it works
The case study earns its numbers: a specific dollar figure, a specific speed claim, and a 99% data-volume reduction all tied to one named customer. The mechanism is clear enough to replicate: engage a Resident Architect to audit warehouse logs, then redesign incremental models before costs compound. The quote does real work by quantifying the outcome rather than just praising the relationship.
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Anchor the cost-savings claim with both the dollar amount and the time comparison (hours vs. months), so the reader feels both the magnitude and the speed of payback.
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