Elastic and configurable Big Data and Analytics Platforms for bringing together all airline data to support current analytics and reporting needs. It provides unfettered on-demand access of data to business users and ability to experiment with AI/ML. It has elastic and adaptable Operational Data Stores for PNRs, Tickets, Loyalty and other data domains to support digital channels.
Overview
Airlines Data Platform (ADP) provides an elastic and configurable data platform that includes adaptable Operational Data Store to support digital channels and a purpose-built Big Data & Analytics platforms for bringing together all airline data to support current analytics & reporting needs.
- Data Ingestion from varied sources (system of records, sensor of log data, & other external data): The data domain includes Passenger Name Record (PNR), E-Ticket, FLIFO, Inventory, Loyalty, and SSIM. The ingestion allows for data to be accepted in different formats and delivery channels with fewer restrictions on specific formats/layouts and data elements. The design principles coalesce both operational and analytical needs whereby the same data feeds populate both the data lake and operational data store.
- Data Processing & Transformation: add new ways of data enrichment that will add greater value to the data. Further, it enables asynchronous communication of insightful data from the data lake to operational data store.
- Data Lake that comprises of
- Staging (raw) data buckets
- Processed (transformed) data buckets
- Reportable data buckets
- Real-time Operational Data Store.
- Data Lake that comprises of
- Data Delivery: Add new ways of delivering data to the client’s systems (Data Lake access sharing, API connectivity) all in a controlled way with the Airline admins having the option to manage each delivery channel directly.
- Data Security: single sign-on, role-based access, and PII data identification & tagging
Highlights
- The platform aims to deliver up to 80% of the Airline passenger related data requirements out-of-the-box with low predictable cost, zero lock-in and accelerating business value creation.
- Designed & built on the tenets of extensible serverless architecture, open data standards, schema on read patterns, separation of compute from storage and microservices.
Details
Pricing
Custom pricing options
Pricing is based on your specific requirements and eligibility. To get a custom quote for your needs, request a private offer.
Legal
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Resources
Vendor resources
Support
Vendor support
For any assistance reach out to us.
Contact Us URL:
Software associated with this service
Airline Tweets Sentiment Analyzer
By Mphasis
Machine Learning based solution which classifies tweets about airlines into positive, neutral and negative sentiment categories.
Airline Reviews Sentiment Analyzer
By Mphasis
ML based solution which classifies airline reviews into positive and negative sentiment categories.
Passenger Traffic Forecasting
By Mphasis
This solution provides 30 weeks of forecast of passengers who are expected to travel using historical weekly passenger traffic data.