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Rasgo Prevents Metric Inconsistency

To optimize decision making, data consumers rely on accurate metrics that they can access and drill into in self-service.

Lacking a better option, data consumers calculate metrics in their tool of choice after extracting data from the data warehouse. This leads to inconsistent answers from the data, causing confusion and distrust.

We refer to a metric as a SQL representation of business logic. Metrics are any measurement of your business in data.

Introducing the Metric Command Center

Rasgo natively integrates with dbt so both your data literate and YAML literate stakeholders can discover, explore, and create standard business metrics, eliminating metric inconsistency.

Discover Metrics | Rasgo enables users to easily search and find the verified dbt models and metrics they need. Visualize the lineage and see the source SQL used to create the metric to empower trust.

Explore Metrics | Rasgo enables users to easily search and find the verified dbt models and metrics they need. Visualize the lineage and see the source SQL used to create the metric to empower trust.

Create New Metrics | Rasgo enables users to easily search and find the verified dbt models and metrics they need. Visualize the lineage and see the source SQL used to create the metric to empower trust.

Monitor Metrics | Rasgo enables users to easily search and find the verified dbt models and metrics they need. Visualize the lineage and see the source SQL used to create the metric to empower trust.

Standardize Key Metrics

Leverage global search to easily find the verified datasets and metrics you need for your analysis. Visualize the lineage, see the metadata, and understand the source SQL used to create the metric to empower trust.

Empower Data Exploration

Rasgo calculates metrics automatically and empowers you to easily slice and dice your data to quickly perform exploratory data analysis

Deliver a Metric Flywheel

Easily create new derivative metrics in self-service via SQL, Python, or our no-code UI. Creating new metrics in Rasgo automatically generates a Pull Request in your dbt repository for approval by your analytic engineer

Automate Metric Operations

Rasgo automatically monitors your underlying metric values with powerful anomaly detection algorithms so you're the first to know when key drivers of performance or data quality may present downstream issues

A image of how Rasgo fits into the Modern Data Stack. Rasgo sits ontop of Snowflake, dbt, Fivetran, Airflow and Hightouch.
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