Single Customer View
Real data of your passengers turned into a business advantage
In the airline business, knowing who your passengers are is no longer optional. Without that clarity, every campaign, offer, and message risks missing its mark and losing its impact.
Still, many airlines operate with fragmented systems that don’t speak to each other. This results in duplicated records, inconsistent data, and generic actions that fail to connect with real travelers.
At be bolder, we help your airline turn disorganized data into a strategic asset. With our tailored approach, you can finally recognize every passenger and make each interaction count.
The challenge: Recognise every passenger to drive smarter decisions
The airline managed customer data through disconnected systems focused on reservations, not people. This created duplicate records and prevented any accurate view of who was flying with them.
As a result, marketing campaigns lacked precision, sales efforts became inefficient, and personalization was nearly impossible, missing opportunities to grow loyalty and boost revenue across routes.
Available tools were either too generic or built for other purposes, making it hard to centralize and validate passenger data. This kept the airline from competing through real customer insight.
Our solution: A unified view to validate, clean, and connect data
be bolder designed a tailored solution that consolidated dispersed records, eliminated inconsistencies, and enabled the airline to recognise each passenger through a single, trusted profile.
How does the solution work?
Passenger data collection:
The system retrieves passenger information from reservation, check-in, and loyalty platforms to ensure a broad and diverse data foundation.
Advanced data cleansing:
Inconsistencies, duplications, and empty fields are resolved through automated processes that improve accuracy, completeness, and trustworthiness.
Golden Record creation:
A unique identifier is assigned to each validated profile, linking all related data and establishing a single source of truth per customer.
Machine learning validation:
Grouping logic is tested through decision-tree algorithms to confirm matches, reducing false positives and strengthening data reliability.
Canonical model structuring:
Data is reorganized under a unified format to integrate seamlessly with existing airline systems, ensuring scalability and clarity.
Real-time visualisation tools:
Dashboards transform data into actionable insights, allowing the commercial team to analyse trends, segment audiences, and personalise offers effectively.
Implemented technologies
To organise customer data efficiently and enable advanced processing, a modular architecture was implemented using:
Apache Spark: Enables fast, distributed data processing to clean, validate, and unify large datasets.
Python with Pandas: Supports advanced data transformation logic and structured manipulation for cleansing operations.
Decision tree algorithms: Validate data groupings by learning logical patterns and correcting false matches.
RESTful API integration: Connects the solution to the airline’s systems for real-time synchronisation and data access.
PostgreSQL: Stores validated customer profiles securely, allowing efficient queries and future scalability.
The results: Real-time insight that increased conversion and loyalty
What was once a collection of disconnected records became a powerful engine for strategic action. The airline gained clarity on every passenger, activating smarter decisions with measurable business impact.
Before, data was duplicated, scattered across systems, and hard to validate. Today, each customer is represented by one consistent profile, enabling accurate segmentation and personalized strategies.
With Single Customer View, our client obtained:
Reach out to explore how SCV can deliver clarity, precision, and profit to your airline.