Analytics & Business Intelligence

Revenue management, data warehousing, business intelligence, and operational reporting.

Components

Revenue Management

Demand forecasting and optimization:

  • Demand forecasting
  • Pricing optimization
  • Inventory controls
  • Overbooking management
  • Network planning support

Business Intelligence

Data warehouse and analytics:

  • Data warehouse architecture
  • Executive dashboards
  • Self-service analytics
  • Data visualization
  • Ad-hoc reporting

Reporting

Operational and regulatory reports:

  • Financial reporting
  • Operational metrics
  • Regulatory compliance
  • Performance scorecards
  • Automated report distribution

Data Architecture

┌─────────────────────────────────────────────────────┐
│                 Data Sources                         │
├──────────┬──────────┬──────────┬──────────┬────────┤
│   PSS    │   DCS    │  Finance │  Digital │ External│
└────┬─────┴────┬─────┴────┬─────┴────┬─────┴────┬───┘
     │          │          │          │          │
     └──────────┴──────────┴──────────┴──────────┘
                           │
                    ┌──────▼──────┐
                    │    ETL      │
                    │  Pipeline   │
                    └──────┬──────┘
                           │
                    ┌──────▼──────┐
                    │    Data     │
                    │  Warehouse  │
                    └──────┬──────┘
                           │
         ┌─────────────────┼─────────────────┐
         │                 │                 │
    ┌────▼────┐      ┌─────▼─────┐     ┌────▼────┐
    │   RM    │      │    BI     │     │ Reports │
    │ System  │      │ Dashboards│     │         │
    └─────────┘      └───────────┘     └─────────┘

Key Metrics Framework

Financial

  • Revenue per ASM (RASM)
  • Cost per ASM (CASM)
  • Yield
  • Load factor
  • Ancillary revenue

Operational

  • On-time performance
  • Completion factor
  • Mishandled bags
  • Customer complaints

Customer

  • NPS / CSAT
  • Repeat booking rate
  • FFP engagement
  • Digital adoption

Data Governance

Principles

  • Data quality ownership
  • Master data management
  • Privacy compliance
  • Access control
  • Audit trails