01
Business Problem
DSD operates as a premier provider of advanced inflight entertainment (IFE) solutions across Southeast Asia, especially dominant in Indonesia with over 76% market share. The inflight entertainment industry faces unique challenges including the shift from legacy web-based systems to app-based platforms, ensuring content variety and freshness, managing data collection without internet connectivity onboard, and monetizing an advertising-driven revenue model in a fiercely cost-sensitive aviation environment. Airlines rely on capturing passenger attention through engaging content despite short flight durations and limited connectivity, while controlling costs and complying with regulatory standards such as GDPR.
DSD operates as a premier provider of advanced inflight entertainment (IFE) solutions across Southeast Asia, especially dominant in Indonesia with over 76% market share. The inflight entertainment industry faces unique challenges including the shift from legacy web-based systems to app-based platforms, ensuring content variety and freshness, managing data collection without internet connectivity onboard, and monetizing an advertising-driven revenue model in a fiercely cost-sensitive aviation environment. Airlines rely on capturing passenger attention through engaging content despite short flight durations and limited connectivity, while controlling costs and complying with regulatory standards such as GDPR.
02
Target Audience
Airlines in Southeast Asia seeking to enhance passenger experience through inflight entertainment while controlling operating costs.
Airlines in Southeast Asia seeking to enhance passenger experience through inflight entertainment while controlling operating costs.
Inflight entertainment service providers and aggregators looking to modernize platforms from web-based to app-based solutions.
Inflight entertainment service providers and aggregators looking to modernize platforms from web-based to app-based solutions.
Content licensors and marketing teams focused on maximizing ad revenue via passenger engagement analytics.
Content licensors and marketing teams focused on maximizing ad revenue via passenger engagement analytics.
Airline IT and operations teams requiring reliable, secure, and scalable data management systems compliant with aviation and data privacy standards.
Airline IT and operations teams requiring reliable, secure, and scalable data management systems compliant with aviation and data privacy standards.
03
Challenges Faced
Content Relevance and Variety:
Content Relevance and Variety:
Ensuring a suitable mix of regional, short-format, and popular content that fits short flight durations, considering passenger preferences.
Ensuring a suitable mix of regional, short-format, and popular content that fits short flight durations, considering passenger preferences.
Data Collection Constraints:
Data Collection Constraints:
No internet connectivity onboard; data had to be captured locally from Wi-Fi boxes and synced post-flight, complicating real-time analytics.
No internet connectivity onboard; data had to be captured locally from Wi-Fi boxes and synced post-flight, complicating real-time analytics.
Hardware Limitations:
Hardware Limitations:
Managing the physical deployment of Wi-Fi boxes with weight restrictions and battery life decisions critical for airline operations.
Managing the physical deployment of Wi-Fi boxes with weight restrictions and battery life decisions critical for airline operations.
Monetization Model:
Monetization Model:
Airlines do not pay for IFE; revenue is entirely ad-driven with a captive passenger audience, requiring intelligent analytics to guide content licensing and ad placement.
Airlines do not pay for IFE; revenue is entirely ad-driven with a captive passenger audience, requiring intelligent analytics to guide content licensing and ad placement.
Regulatory and Privacy Compliance:
Regulatory and Privacy Compliance:
Managing personal data while adhering to GDPR and ensuring minimal passenger data capture.
Managing personal data while adhering to GDPR and ensuring minimal passenger data capture.
Operational Scale and Reliability:
Operational Scale and Reliability:
Managing tens of thousands of passengers daily across multiple airlines and flights necessitated robust backend architectures and data pipelines.
Managing tens of thousands of passengers daily across multiple airlines and flights necessitated robust backend architectures and data pipelines.
04
Tech Stack Used
Data Storage & Processing:
Data Storage & Processing:
AWS S3 for raw data storage; AWS Redshift as a data warehouse; Apache Spark for big data processing and analytics.
AWS S3 for raw data storage; AWS Redshift as a data warehouse; Apache Spark for big data processing and analytics.
Visualization:
Visualization:
Apache Superset for creating real-time, customizable analytics dashboards.
Apache Superset for creating real-time, customizable analytics dashboards.
Data Ingestion:
Data Ingestion:
APIs connected to airline partners and Wi-Fi boxes to capture viewing data and flight metadata on sync.
APIs connected to airline partners and Wi-Fi boxes to capture viewing data and flight metadata on sync.
Web and Mobile Applications:
Web and Mobile Applications:
Developed app-based interfaces for passengers for personalized and seamless content consumption onboard.
Developed app-based interfaces for passengers for personalized and seamless content consumption onboard.
Regulatory and Privacy Compliance:
Regulatory and Privacy Compliance:
Managing personal data while adhering to GDPR and ensuring minimal passenger data capture.
Managing personal data while adhering to GDPR and ensuring minimal passenger data capture.
Security & Compliance:
Security & Compliance:
GDPR compliance implemented via data anonymization and opt-in consent flows.
GDPR compliance implemented via data anonymization and opt-in consent flows.
Infrastructure:
Infrastructure:
Entire solution hosted and managed within the AWS cloud ecosystem ensuring scalability and reliability.
Entire solution hosted and managed within the AWS cloud ecosystem ensuring scalability and reliability.
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