The Challenge
The primary objective was analyzing publicly available datasets on customer reviews, flight delays, baggage management, and sentiment analysis to derive actionable insights for a global carrier.
- analytics Consolidating disparate sentiment data from various public forums.
- speed Mapping flight delay correlations to baggage management efficiency.
Strategic Roadmap
A multi-phase approach ensuring data visualization adoption is seamlessly integrated into operational frameworks.
Ingestion & Cleaning
Aggregating public aviation datasets and normalizing sentiment scores for consistent benchmarking across fleet categories.
Sentiment Modeling
Developing customized Tableau dashboards that bridge the gap between technical metrics and operational decision-making.
Operational Sync
Deployment of real-time monitoring tools to stakeholders, ensuring immediate visibility into passenger satisfaction trends.
Technical Execution
Tableau Ecosystem
Advanced visual representations of complex aviation datasets, utilizing LOD expressions and parameter actions for deep-drill analysis.
Complexity Map
Managing 50,000+ data points across 4 distinct operational silos.
Efficiency Lift
Targeted through delay modeling.
98% Data Integrity Rate