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dbt Labs × Car and Classic

dbt Labs x Car and Classic, 10x faster reports and 8 hours saved weekly on data incidents

10x report load time improvement with Snowflake

Data distrust to data-driven confidence

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Why it works

The case study is specific throughout: named tools replaced, a concrete before-state of 30-second-plus query times and untrusted metrics, and two distinct headline numbers anchoring the results. The trust narrative thread runs cleanly from broken-before to fixed-after, which gives the efficiency gains emotional weight. The piece doubles as a mild Clarity story because the before-state included genuine blindness around marketing attribution, but the headline leads with performance numbers, so Efficiency wins the tie-break.

Steal this

The 'James is now the one catching the issues' inversion: framing a monitoring tool's value as a shift in who holds the power in an organization (data team tells stakeholders, not the reverse) makes an abstract reliability benefit feel personally motivating to any data practitioner reading.

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This is editorial commentary and curation. The case study, screenshot, and all metrics are dbt Labs's published work; we link to the source and lead with our analysis.

  • Vendor dbt Labs
  • Customer Car and Classic
  • Industry Ecommerce / Retail
  • Trigger Slow MySQL queries, lack of centralization, and eroding trust in data quality
  • Format Written narrative
  • Structure Challenge-Solution-Results
  • Medium Web page