Business intelligence (BI) tools turn data into dashboards and reports that people across an organisation can use.
What BI Tools Do
- Connect to data sources: databases, warehouses, spreadsheets, applications.
- Model data: relationships between tables, calculated measures, business definitions.
- Visualise: interactive charts, dashboards and reports.
- Share and govern: publishing, permissions, scheduled refreshes.
Well-Known Tools
- Power BI (Microsoft): tight integration with Excel and Microsoft 365.
- Tableau: strong visual exploration.
- Looker: a centrally defined modelling layer for consistent metrics.
- Many others, including open-source options such as Apache Superset and Metabase.
Where BI Sits
Typically on top of a data warehouse that holds cleaned, modelled data. The BI layer should mostly visualise and slice data, not do heavy transformation.
Choosing a Tool
- Fit with your existing platforms and skills.
- Data sources and volumes.
- Governance: shared metric definitions, row-level security.
- Licensing costs as usage grows.
- Self-service needs versus centrally built reports.
Success Factors
- Define metrics once and reuse them.
- Invest in data quality upstream.
- Train users.
- Retire unused reports.
- Make ownership clear.
Increasingly, AI
Many BI tools add natural-language querying and AI-generated summaries. Treat these like any AI output: useful, but check the underlying numbers.