Data & Analytics
Airline: Data Lakehouse Transformation
Reimagine Legacy. Redefine Future.
The Client
A global airline carrying 50M passengers annually.
Data was siloed across operations, loyalty programs, and flight management systems, preventing holistic decision-making.
Reimagine Legacy. Redefine Future.
The Challenges
Key Highlights
- Deployed Azure OpenAI Service with GPT-based models for real-time sentiment analysis of customer feedback across email, chat, and social platforms.
- Implemented a personalization engine that leveraged AI-driven recommendations for promotions and loyalty rewards.
- Integrated an intelligent Power Virtual Agents chatbot into the company’s mobile app and website for 24/7 multilingual customer support.
- Rolled out predictive analytics dashboards in Power BI to forecast churn and measure campaign ROI.
Key Highlights
- Built a unified data platform with AWS Lake Formation.
- Integrated multiple sources into a centralized data lakehouse.
- Deployed Tableau dashboards for operational and executive teams.
- Applied predictive maintenance models for aircraft fleets.
Impact
Business Morals
Business Morals
Delivered
- Reduced maintenance costs by 20%.
- Cut flight delays by 10%.
- Improved customer loyalty engagement.
- Created a single version of truth for all stakeholders.
Business Morals Delivered
- Customer retention rates improved by 18% within the first year.
- Call center workloads decreased by 35%, allowing agents to focus on complex cases.
- Campaign conversions rose by 22% due to targeted offers powered by AI.
- The client positioned itself as an AI-first retailer, enhancing brand perception in competitive markets.