11.3: Key Terms
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Key Terms and Definitions
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Business Intelligence — Technologies and practices transforming raw data into meaningful information for decision-making.
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Data Warehouse — A centralized repository of integrated, historical data optimized for analytical querying.
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OLTP — Online Transaction Processing — systems optimized for high-volume, short transactional operations.
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OLAP — Online Analytical Processing — systems optimized for complex queries and multi-dimensional analysis.
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Star Schema — A warehouse design with a central fact table linked to surrounding dimension tables.
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Snowflake Schema — A warehouse design where dimension tables are further normalized into sub-dimensions.
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Fact Table — A table containing quantitative business metrics (measures) and foreign keys to dimension tables.
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Dimension Table — A table containing descriptive attributes (e.g., product name, date, region) for slicing data.
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OLAP Cube — A multi-dimensional data structure allowing fast slicing, dicing, and drill-down across dimensions.
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KPI — Key Performance Indicator — a measurable value tracking progress toward a business objective.
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Self-Service BI — Enabling non-technical users to create reports and explore data without IT assistance.
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Embedded Analytics — Integrating BI visualizations and reports directly into other business applications.
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Data Mart — A subset of a data warehouse focused on a specific department or business area.
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Slice and Dice — OLAP operations: fixing one dimension to view a cross-section (slice) or selecting a sub-cube (dice).


