If you’re asking “What do you mean by business intelligence?”, think of BI as the discipline and toolset that collects, manages, and analyzes organizational data to deliver decision-ready insights.

In simple terms, BI transforms raw data into reports, dashboards, and alerts that enable people to take action. Authoritative definitions emphasize the same core idea, using data to inform strategy and operations.

What BI includes (the essential building blocks):

Data pipelines: Move data from operational systems into analytics storage with quality checks.

Analytics storage: A data warehouse for curated, structured data, and often a data lake for raw, multi-format data that supports exploration and ML. Our approach spans both.

Semantic layer and governed datasets: Shared KPIs (e.g., revenue, churn) so every team speaks the same metric language.

Visualization and delivery: Dashboards, reports, and self-service analysis that present historical and current data in intuitive formats.

Governance and security: Catalogs, lineage, and role/row-level access to keep insights trustworthy and compliant.

Learn more: Data & Analytics → and Case study →.