Business Intelligence

Intro

Business Intelligence (BI) collects, transforms, and presents data to support analysis and decisions. In EA, BI aligns data sources, models, and governance for trusted insights.

Key points:

• Consolidates data into reports, dashboards, and self‑service analytics
• Improves decision quality through consistent definitions
• Common use cases: operational reporting, KPI dashboards, trend analysis, forecasting
• Pitfall: shadow BI and inconsistent metrics across teams

Examples:

• Executive KPI dashboard for capability performance
• Operational reports on process cycle times
• Self‑service analytics using governed data models

In practice:

Connect BI to Enterprise Architecture data standards and ownership.

Related terms: Data Warehouse; KPI; Data Model

FAQs:

Q: How do we prevent “multiple versions of the truth”?
A: Govern metric definitions and centralise shared data models.

Q: What’s the role of EA in BI?
A: Define data ownership, standards, and integration patterns.

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