Business Intelligence & Analytics
Dashboards, semantic data layers, and self-service reporting for non-technical business users.
Subject: Data & Statistics · Roles: Business Intelligence Developer
Concepts
Dashboard Design Principles
Building a dashboard that actually gets used and drives decisions, not one that just looks comprehensive.
Semantic Data Modeling for BI
The metrics layer that defines business terms consistently, so 'revenue' means the same thing in every report.
Calculated Measures & Aggregations
Writing correct aggregations and calculated measures — where subtle mistakes silently produce wrong numbers.
ETL for Reporting
The lighter-weight, reporting-focused data prep that sits between raw warehouse tables and a BI tool.
Self-Service Analytics Enablement
Letting business users answer their own questions safely, without a queue of ad-hoc requests to the data team.
Data Storytelling
Presenting analysis so the insight and recommended action are unmistakable, not just the numbers.
