Analytics & Data

Creation Sequence

Follow these steps in order. Each one adds entities to the graph and sets up the next.

1. 1
   Data Sources

   Create the Data Source entity

   🛢️Data Source

   List where the truth lives: the systems that emit events you can measure. Product, billing, support, CRM, external.

   entity sequence
2. 2
   Event Schemas

   Create the Event Schema entity

   🔠Event Schema

   Define the events you will instrument. Schema first; instrumentation second. Each event needs a name, properties, and emit conditions.

   entity sequence
3. 3
   Pipelines & Models

   Create the Data Pipeline, Data Model entities

   🪣Data Pipeline→🗃️Data Model

   Move data from source to warehouse. Define transformations and the resulting models the rest of the org consumes.

   entity sequence
4. 4
   Metrics

   Create the Metric entity

   🔢Metric

   Define the numbers the team will look at. Group into North Star, input metrics, guardrail metrics, and diagnostic metrics.

   entity sequence
5. 5
   Dashboards

   Create the Dashboard entity

   🎛️Dashboard

   Compose metrics into dashboards by audience: leadership weekly, team daily, on-call always-on.

   entity sequence
6. 6
   Data Quality

   Create the Data Quality Rule entity

   🧹Data Quality Rule

   Set the rules that guard against silent drift: freshness, completeness, accuracy, schema integrity.

   entity sequence