Custom Reporting Systems for Business Intelligence

Off-the-shelf BI tools work for standard reporting. Custom reporting fits your metrics, data sources, and workflows. Dashboards, scheduled reports, data pipelines — here's when and how to build custom reporting.

Table of Contents

• When to Build Custom
• Key Components
• Data Pipeline
• Delivery & Access
• Tools vs Custom
• Frequently Asked Questions

When to Build Custom

• Multi-source data — CRM + ERP + custom DB
• Unique metrics — standard BI can't calculate
• Embedded in your app — reports inside product
• Real-time — not batch
• Compliance — specific audit, retention requirements

Key Components

Data layer: ETL or API aggregation. Metrics: Calculated fields, KPIs. Visualization: Charts, tables, dashboards. Delivery: Web, email, export. See our Custom Dashboards guide.

Data Pipeline

Pull from DBs, APIs, files. Transform (join, aggregate, calculate). Load into warehouse or cache. Batch (nightly) or streaming. Tools: dbt, Airflow, or custom.

Delivery & Access

Web dashboard, scheduled email (PDF/Excel), export to S3. Role-based access — finance sees P&L, sales sees pipeline.

Tools vs Custom

Metabase, Looker, Tableau — for standard BI, single-source. Custom when multi-source, embedded, or unique logic. Hybrid: warehouse + Metabase for most, custom for edge cases.

Frequently Asked Questions