Business Intelligence
BI
Technologies and practices for collecting, integrating, analysing, and presenting business data. Enables data-driven decision making through dashboards, reports, and analytics.
In-Depth Explanation
Business Intelligence (BI) transforms raw data into actionable insights for business decisions. BI encompasses data collection, warehousing, analysis, and visualisation.
BI components:
- Data warehousing: Central repository for business data
- ETL/ELT: Data integration pipelines
- Data modelling: Structuring data for analysis
- Reporting: Scheduled and ad-hoc reports
- Dashboards: Real-time visual monitoring
- Analytics: Exploration and analysis tools
BI evolution:
- Traditional BI: IT-driven, scheduled reports
- Self-service BI: Business users create own analyses
- Augmented BI: AI-assisted insights and automation
- Embedded BI: Analytics within applications
Popular BI tools:
- Enterprise: Tableau, Power BI, Looker
- Open source: Metabase, Apache Superset
- Cloud-native: Sigma, Mode, Preset
Business Context
BI is foundational for data-driven organisations. Companies with mature BI make better decisions and respond faster to market changes.
How Clever Ops Uses This
We implement BI solutions for Australian businesses, connecting data sources and delivering actionable dashboards for decision-makers.
Example Use Case
"A sales dashboard showing real-time pipeline, conversion trends, and forecasts - enabling sales leaders to make data-driven coaching and resource decisions."