Your engine for answers.

Maps simplify creating rules to integrate your datasets. By customizing your maps, you enable seamless metric analysis across platforms, eliminating repeated logical joins for various outputs. This approach not only eliminates queries but also establishes central logic that consistently applies downstream, minimizing multiple maintenance points.

Tags streamline data organization by automating custom groupings. Once set, these rules automatically apply to newly ingested data. For issues like naming errors, a drag-and-drop semantic layer allows easy corrections without altering the underlying data. This requires no engineering effort, supports bulk operations, and provides insights into untagged data, preventing potential downstream query issues.

Fields are an easy way to create formulas and normalized metrics to standardize your data sets. Whether it's simple conditional logic or sophisticated formulas across dozens of platforms, fields help you normalize your data more efficiently.