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For data engineers supporting revenue ops and growth, bad metrics create bottlenecks. StructuredBot tackles this by automating dbt reviews, aligning key metrics like CAC and MRR across teams, and eliminating the headaches of inconsistent reporting. With StructuredBot, your data pipeline becomes a source of reliable, actionable insights, allowing you to focus on scaling, not reconciling data.
Data is a critical asset for any growth-focused company. But as your team scales, keeping your dbt models clean, consistent, and optimized becomes harder. That’s where this GitHub app comes in. It automates dbt code reviews directly in your pull requests, so your data models stay reliable, reusable, and aligned with your key metrics.
Automated dbt Reviews The app kicks in whenever a pull request is opened or updated. It instantly analyzes dbt models, flagging issues related to performance, structure, and adherence to best practices. This reduces the need for manual reviews and speeds up your development process.
Model Reuse Suggestions The app identifies opportunities to reuse existing models, promoting modularity and reducing redundancy. It suggests breaking down complex models and reusing components to keep your project scalable and maintainable.
