BI & Dashboards
Best for: Revenue by region, top products, category comparisons
Best for: Daily active users, revenue trends, growth metrics
Best for: Cumulative metrics, stacked compositions over time
Best for: Market share, traffic source distribution, budget allocation
Best for: Correlation analysis, anomaly detection, clustering
Best for: Total revenue, active users, conversion rate, NPS
Best for: Detailed records, drill-down data, export-ready views
Arrange charts, KPI tiles, and tables on a grid. Add and remove widgets through AI or manually.
Dashboards query your pipeline tables directly — always showing the latest data from your most recent pipeline run.
Filter dashboard data by date range. Select preset ranges or pick custom dates.
Ask a question in the Analyst panel and pin the resulting chart directly to any dashboard.
The semantic layer sits between your Gold tables and your dashboards. Define business metrics, dimensions, and calculated fields in one place — then reference them across charts, KPI tiles, and Analyst AI queries.
Define reusable metrics (revenue, churn rate, DAU) once. Reference them across dashboards and queries.
Map columns to dimensions (region, product, date) for consistent grouping across all charts.
Define metrics with SQL expressions like SUM(revenue), COUNT(DISTINCT user_id), or custom formulas.
Control which team members can view or edit metrics. Tied to workspace roles.
Share dashboards with team members via workspace roles. Every dashboard respects your data access permissions — viewers see data, builders can edit.
No export pipeline to Tableau. No Looker licenses. Charts from the same platform.
AI-native data platform. From raw data to business dashboards powered by Apache open standards, visual pipeline building, and AI agents that handle the heavy lifting.
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