Creating a data governance attribute store taxonomy for the airline business requires categorizing and defining critical data attributes that support business operations, compliance, analytics, and decision-making. Below is a high-level example of taxonomy items for an airline business:
1. Passenger Data
• Personal Information
• Full Name
• Date of Birth
• Nationality
• Gender
• Passport Number
• Contact Information (Phone, Email)
• Booking Information
• PNR (Passenger Name Record)
• Ticket Number
• Class of Service (Economy, Business, First)
• Booking Channel (Direct, OTA, Travel Agent)
• Special Requests (Meal Preferences, Assistance)
• Travel Information
• Flight Number
• Origin/Destination
• Seat Assignment
• Frequent Flyer Status and Miles Accumulated
2. Flight Operations Data
• Schedule Information
• Flight Number
• Departure/Arrival Times (Scheduled and Actual)
• Origin and Destination Airports
• Gate Information
• Crew Details
• Pilot and Cabin Crew Assignments
• Crew Certifications and Hours Logged
• Aircraft Information
• Aircraft Registration Number
• Aircraft Type/Model
• Maintenance Records
3. Revenue Management Data
• Fare Classes
• Pricing Bands and Discounts
• Dynamic Pricing Parameters
• Sales Channels
• Revenue by Channel (Online, Travel Agency, Corporate)
• Ancillary Revenue (Baggage Fees, Seat Upgrades)
• Yield and Load Factor Metrics
• Seat Occupancy Rates
• Average Revenue Per Passenger
4. Operations and Maintenance Data
• Fleet Data
• Fleet Size and Utilization
• Maintenance Schedules
• Incident Reports
• Fuel Consumption and Costs
• Fuel Uplift by Flight
• Fuel Price by Region
• On-Time Performance
• Delays by Cause (Weather, Technical, ATC)
• Turnaround Times
5. Regulatory and Compliance Data
• Passenger Safety and Security
• No-Fly Lists
• Passenger Screening Status
• Operational Compliance
• Airworthiness Certifications
• Environmental Compliance (Emissions Data)
• Customs and Immigration
• API/PNR Data Sharing
• Visa and Travel Document Verification
6. Marketing and Customer Engagement Data
• Campaigns and Promotions
• Customer Segmentation Criteria
• Campaign Effectiveness Metrics
• Loyalty Programs
• Frequent Flyer Enrollment Data
• Reward Redemptions
• Customer Feedback
• Net Promoter Score (NPS)
• Complaint Categories and Resolution Times
7. Financial Data
• Revenue Data
• Flight Revenue Breakdown
• Ancillary Services Revenue
• Cost Data
• Operating Costs (Fuel, Crew, Maintenance)
• Ground Handling Costs
• Profitability Metrics
• Profit Per Route
• Margin Analysis
8. Data Governance Metadata
• Data Classification
• Sensitivity Level (PII, Confidential, Public)
• Retention Policy
• Data Stewardship
• Data Owner
• Data Steward
• Data Quality
• Completeness
• Accuracy
• Timeliness
• Access Controls
• Role-Based Access Policies
• Audit Trails
Let me know if you’d like to refine this for a specific airline function or align it with existing governance frameworks.