Business Intelligence Fundamentals
Business Intelligence (BI) turns company data into reports and dashboards that guide decisions. Understand the BI stack, the main tools and how BI differs from ad-hoc analytics.
What is Business Intelligence?
Business Intelligence is the set of practices and tools used to collect, organize and present business data so people can make faster, better-informed decisions.
Where data science often asks *"what will happen?"*, BI mostly answers *"what happened, and why?"* with trusted, repeatable reports.
The BI Stack
Most BI systems have the same layers:
- Sources — Operational databases, SaaS apps, spreadsheets, event logs.
- Integration — ETL/ELT pipelines that load data into a central store.
- Storage — A data warehouse or lakehouse with modeled, clean tables.
- Semantic layer — Shared definitions of metrics such as "active customer".
- Presentation — Dashboards, reports and self-service exploration.
Popular BI Tools
Tools differ in cost, flexibility and audience:
- Power BI — Strong Microsoft ecosystem integration and DAX modeling.
- Tableau — Best-in-class visual exploration and design control.
- Looker — Code-defined metrics (LookML) on top of a warehouse.
- Metabase / Superset — Open-source options for quick self-service BI.
- Google Looker Studio — Free, lightweight dashboards for marketing data.
A Simple BI-Ready Table
BI tools work best against clean, denormalized reporting tables. A view like this gives every dashboard one consistent source of truth:
CREATE VIEW reporting.sales_summary AS
SELECT
d.date_key,
d.year,
d.month_name,
r.region_name,
p.category,
SUM(f.revenue) AS revenue,
SUM(f.quantity) AS units_sold,
COUNT(DISTINCT f.customer_id) AS unique_customers
FROM fact_sales f
JOIN dim_date d ON d.date_key = f.date_key
JOIN dim_region r ON r.region_key = f.region_key
JOIN dim_product p ON p.product_key = f.product_key
GROUP BY 1, 2, 3, 4, 5;Key Takeaways
- BI answers what happened and why with trusted, repeatable reports.
- The stack runs from sources to integration, storage, semantic layer and dashboards.
- Pick a tool based on audience, budget and existing ecosystem.
- Clean reporting tables are the foundation of reliable BI.
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