How Firms Keep Delivering with CMD+RVL.
Tech Startup → Recovered lost context and shortened onboarding time by 40%
Years of 'move fast and break things' left a leading tech startup with a chaotic data environment—hundreds of tables, redundant datasets, and no clear understanding of what was useful or outdated. Engineering teams struggled with data reliability, high maintenance costs, and slow decision-making. CMD+RVL implemented a metadata-first approach, setting up automated monitors to classify datasets: critical vs. orphaned tables, high-quality vs. incomplete datasets, and frequently used vs. obsolete assets. With metadata-driven insights, the startup streamlined data governance, automated quality controls, and systematically reduced maintenance overhead. Key Outcomes: • 40% reduction in data maintenance overhead • Automated classification of 500+ tables • Improved data reliability and trust • Faster access to high-quality, decision-ready datasetsCase Studies
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