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Analytical Data
Analytical Data is data that helps humans make better decisions by providing insights, patterns, and trends.
Characteristics
- Historical: Often includes historical data for trend analysis
- Aggregated: Summarized and processed for analysis
- Read-optimized: Optimized for complex queries and reporting
- Denormalized: Often stored in star/snowflake schemas for analytical queries
- Batch-processed: Typically updated in batches rather than real-time
Purpose
Analytical data enables:
- Business intelligence and reporting
- Trend analysis and forecasting
- Performance metrics and KPIs
- Strategic decision-making
- Pattern recognition
Examples
- Sales reports and dashboards
- Customer behavior analytics
- Financial performance metrics
- Operational efficiency reports
- Market research data
Related Concepts
- [[Operational Data]] — source data for operations
- [[Analytically Operational Data]] — automated decision support
- [[ELT (Extract - Load - Transform)]] — data processing approach
- [[Architecture Decision (AD)]]
- [[Pre-Mortem Analysis]] — using data for risk assessment
Definition based on data architecture practice.
Linked References
- [[Goals-Signals-Metrics (GSM) Model]]
A three-step methodology for translating abstract objectives into measurable outcomes: Goals → …
- [[HEART Framework]]
A user-centered methodology that measures UX quality through five key metrics: Happiness, …
- [[Net Promoter Score (NPS)]]
A customer loyalty metric measuring how likely customers are to recommend a product or service, …
- [[Analytically Operational Data]]
Data that automatically helps someone make better decisions.
- [[ELT (Extract - Load - Transform)]]
Data processing approach where raw data is loaded before transformation, preserving original data.
- [[Operational Data]]
Data whose purpose is to remember things.