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Enabling Real-Time AI-Driven Decision Making

Summary

Our client, a leading national carrier, is primarily serving the Middle East & North Africa and operating in over 100 destinations across Africa, Asia, Europe, and North America. They faced a big question: how to modernize its data and analytics landscape to support advanced analytics, AI use cases, and improve passenger experience?

Their challenges included:

  • Complex operations, high passenger volumes, and the need for real-time, data-driven decision-making
  • Rising demand for advanced analytics and AI without a unified, scalable data platform
  • Lack of a standardized data model for new Amadeus data sources such as DIH
  • Limited generation of real-time operational insights
  • Fragmented data platforms limiting ability to enhance passenger experiences and identifying new revenue opportunities

To address these challenges, they needed a strategic partner to build a future-ready data platform and lay the foundation for them to enable personalized guest experiences, data-driven decision making, improve operational efficiency and unlock new revenue opportunities across all business functions.

Tredence Approach

Modern, Unified Data Platform on cloud

  • Integrated analytics and AI on a single, scalable foundation
  • Built a modern architecture that meets both functional and supports continuous innovation and future growth

Source System Migration & Performance Optimization

  • Migrated key source systems to cloud to improve data processing speed and reliability
  • Enhanced business intelligence agility and reduced overall cost of data operations
  • Enabled faster and smarter decision-making across the organization

Real-Time & Connected Analytics Enablement

  • Implemented real-time streaming pipelines for timely data ingestion and processing
  • Created a unified data model for PNR and ticketing to support connected analytics
  • Delivered actionable insights that improve passenger experience and unlock new revenue opportunities

Results

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60% performance improvement with a cost-effective, cloud-optimized solution

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Near real-time decision-making through unified batch and streaming data

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Scalable architecture to reduce cost and time to operationalize new, high-impact use cases

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Data-driven culture to improve operational efficiency and enhance overall customer experience

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