Business Intelligence

Data warehouse architecture, analytics platforms, and executive dashboards.

Scope

Data Warehouse

  • Dimensional modeling
  • ETL/ELT pipelines
  • Data quality management
  • Master data management
  • Historical data retention

Analytics Platforms

  • Self-service analytics
  • Ad-hoc querying
  • Data exploration
  • Embedded analytics

Dashboards

  • Executive KPIs
  • Operational dashboards
  • Departmental views
  • Real-time monitoring

Data Products

  • Curated datasets
  • Data APIs
  • ML feature stores
  • Data marketplace

Research Topics

  • Data warehouse architecture (Kimball vs. Inmon)
  • Cloud data platforms (Snowflake, Databricks, BigQuery)
  • BI tool selection (Tableau, Power BI, Looker)
  • Real-time analytics
  • Data mesh principles
  • Data governance frameworks
  • ML/AI integration
  • Data democratization

Architecture Considerations

Modern Data Stack

┌─────────────────────────────────────────────────────┐
│                  Data Sources                        │
│  PSS │ DCS │ Finance │ Web/App │ External │ IoT    │
└───────────────────────┬─────────────────────────────┘
                        │
              ┌─────────▼─────────┐
              │   Data Ingestion  │
              │  (Fivetran, Airbyte)
              └─────────┬─────────┘
                        │
              ┌─────────▼─────────┐
              │   Data Lake       │
              │   (S3, ADLS)      │
              └─────────┬─────────┘
                        │
              ┌─────────▼─────────┐
              │   Transformation  │
              │   (dbt, Spark)    │
              └─────────┬─────────┘
                        │
              ┌─────────▼─────────┐
              │  Data Warehouse   │
              │ (Snowflake, BQ)   │
              └─────────┬─────────┘
                        │
         ┌──────────────┼──────────────┐
         │              │              │
    ┌────▼────┐   ┌─────▼─────┐  ┌────▼────┐
    │   BI    │   │  ML/AI    │  │   APIs  │
    │ (Tableau)│   │ Platform  │  │(Serving)│
    └─────────┘   └───────────┘  └─────────┘

Dimensional Model

Fact Tables

fact_booking
├── booking_date_key (FK)
├── flight_key (FK)
├── passenger_key (FK)
├── channel_key (FK)
├── route_key (FK)
├── booking_count
├── revenue_amount
├── ancillary_amount
└── segment_count

fact_flight_performance
├── flight_date_key (FK)
├── flight_key (FK)
├── scheduled_departure
├── actual_departure
├── delay_minutes
├── pax_count
└── load_factor

Dimension Tables

dim_date
├── date_key, full_date
├── day_of_week, month, quarter, year
├── is_weekend, is_holiday
└── fiscal_period

dim_route
├── route_key
├── origin_code, origin_city, origin_country
├── destination_code, destination_city, destination_country
├── distance_km
└── region_pair

dim_passenger
├── passenger_key
├── ffp_tier
├── customer_value_segment
└── demographics (anonymized)

Integration Points

SystemDirectionData
PSSInboundBookings, tickets
DCSInboundCheck-in, boarding
FinanceInboundRevenue, costs
OCCInboundFlight performance
DigitalInboundWeb/app analytics
ExternalInboundMarket, competitors

Dashboard Framework

Executive Dashboard

KPIVisualization
Revenue (vs. budget)Line chart + indicator
Load factorGauge
On-time performanceTrend line
NPSScore card

Operational Dashboard

MetricUse
Real-time flight statusMap view
Delay analysisBar chart
Connection performanceHeat map
Baggage metricsKPI cards

Platform Selection

Data Warehouse

PlatformStrengths
SnowflakeScalability, sharing
DatabricksML integration
BigQueryGoogle ecosystem
RedshiftAWS integration

BI Tools

ToolStrengths
TableauVisualization, exploration
Power BIMicrosoft ecosystem
LookerGoverned metrics
Preset/SupersetOpen source

Data Governance

Components

  • Data catalog
  • Data lineage
  • Quality monitoring
  • Access controls
  • Privacy compliance

Tools

FunctionOptions
CatalogAlation, Collibra, DataHub
QualityGreat Expectations, Monte Carlo
Lineagedbt, OpenLineage