Travel and Ticketing OperationsPurpose
1.2. Aggregate live booking, ticket issuance, cancellations, competitor pricing, and route occupancy data.
1.3. Provide alerts and insights to optimize pricing, route scheduling, yield management, and marketing campaigns.
1.4. Visualize trends, anomalies, and performance KPI dashboards to stakeholders for agile operational adjustments.
Trigger Conditions
2.2. Scheduled time intervals (e.g., every 10 mins) for data refresh and analysis.
2.3. API notification of flight status changes or occupancy updates from partner airlines.
2.4. Receipt of external market/competitor data feeds impacting route demand.
Platform Variants
• Feature: Data ingestion pipeline for incremental analytics
• Setting: Configure COPY command to import from S3 with booking/route updates
3.2. Google BigQuery
• Feature: Streaming inserts for real-time booking data
• Setting: Use streaming API with 'insertAll' to push transaction data
3.3. Microsoft Power BI
• Feature: DirectQuery dashboard on live data sources
• Setting: Connect to live database and enable scheduled refresh
3.4. Tableau
• Feature: Real-time dashboard on airline-specific KPIs
• Setting: Use live connections to SQL or cloud data warehouse
3.5. Snowflake
• Feature: Real-time data share for airline performance datasets
• Setting: Create share and add live route occupancy tables
3.6. Looker
• Feature: Event-driven visualizations using Looker API
• Setting: Schedule Looker API calls for updated route statistics
3.7. Azure Synapse Analytics
• Feature: Stream analytics job for ticketing operations
• Setting: Set up real-time input and output bindings for reservation events
3.8. Google Data Studio
• Feature: Live report on route occupancy
• Setting: Integrate with live BigQuery dataset
3.9. Datadog
• Feature: Alerting on performance anomalies
• Setting: Use monitors for sudden changes in booking rates
3.10. Grafana
• Feature: Custom dashboard for operational metrics
• Setting: Connect to time-series data from booking APIs
3.11. Apache Kafka
• Feature: Event streaming for booking status events
• Setting: Use 'topic' for ticket purchase/cancel event streams
3.12. Segment
• Feature: Real-time data collection from multiple sources
• Setting: Configure airline booking source and destinations
3.13. Zapier
• Feature: Workflow trigger on reservation events
• Setting: Set “New Booking” trigger, route to dashboard update
3.14. Make (Integromat)
• Feature: Automation scenario for analytics workflow
• Setting: Modules for capturing, transforming, and forwarding route data
3.15. Slack
• Feature: Real-time notification of route demand surges
• Setting: Incoming webhook for analytics alert messages
3.16. Salesforce
• Feature: Route booking event tracking
• Setting: Custom object and integration API for bookings
3.17. HubSpot
• Feature: Route trend based contact segmentation
• Setting: Custom property updates triggered by demand data
3.18. AWS Lambda
• Feature: Serverless function on route event
• Setting: Trigger Lambda with event from airline system webhook
3.19. MongoDB Atlas
• Feature: Storing and querying live route data
• Setting: Setup Change Streams for real-time analytics
3.20. Google Sheets
• Feature: Live sync of booking metrics
• Setting: Use Sheets API to push live analytics figures
3.21. ElasticSearch
• Feature: High-speed aggregation for analytic queries
• Setting: Index route/booking/performance data for real-time query
3.22. Postman
• Feature: Automated API testing of real-time analytics endpoints
• Setting: Schedule/monitor API integration tests for data delivery
Benefits
4.2. Optimize route pricing and availability dynamically to improve yield.
4.3. Mitigate risk of route under- or over-utilization through proactive insight.
4.4. Enable marketing and sales to target high-potential routes at right moments.
4.5. Enhance service reliability and customer satisfaction with accurate, timely information delivery.