Supporting global aircraft industry through AI-augmented analytics

The client

SITA for Aircraft, the leading global aviation IT provider, enables digital transformation for over 400 customers across 18,000 commercial aircraft with over 90 air navigation service providers. SITA ensures the highest standard of flight operations for 90% of the global airline business, providing services such as digital day of operations, aircraft data management, and unified aircraft communications.

The problem

As aircraft became digitalized, flying data centers, SITA decided to harness the full potential of the Connected Aircraft as an answer to technological shift in aircraft industry. As a client they needed from BitPeak a complete, efficient solution to parse, analyze and monetize data from 50+ services provided to more than 400 customers in global aircraft industry.

The challenge

• Necessity of fully automated and easy-to-scale, cloud-based solution with High Availability and Disaster Recovery in place

• Integrating data from dozens of sources systems fed by more than 18,000 aircrafts through 10 000+ data pipelines

• Providing near real-time data insights needed for quick decision-making

• Providing a sufficient level of privacy and governance with the number of actors, use cases, and access levels
• Laying a strong foundation for Data Culture and encouraging a self-service approach with user user-friendly experience

The solution

Facilitating better decision-making and monetization of data for leading global airlines through comprehensive analytics of data in areas such as Unified Aircraft Communications, Aircraft Data Management, Digital Day of Operations, and Cabin connectivity services, Increasing efficiency and customer satisfaction.

Supported by implementing a scalable, comprehensive Data Analytics Platform with AI-augmented capabilities to support immense amounts of data. Unified tech-stack, self-service first approach, and proper data governance allow for the reduction of the maintenance team to a minimum.

The aim of the solution was providing ability to model and transform data into meaningful KPIs and metrics. This allowed not only for better and quicker decision-making, but also easy way to monetize data through services provided by client to more than 400 airlines.

The process

To realize our goal, we used the following tech stack:

• Azure Data Lake: was used to store enormous amounts of raw and cleansed data, for later processing and analysis.
• Azure Data Factory: was used in the Load layer for integration of data from various sources such as relational databases, flat files, event queues, or Rest APIs.
• Databricks: provided a distributed computing environment that allowed for processing large data sets at scale, allowing for cost efficient, convenient access to a broad range of advanced functionalities such as AI augmented analytics or near real-time data streaming.
• Azure Synapse: was used to store modeled data, for further analytics workloads done in parallel, allowing for quick, data-driven decisions.
• Power BI: was used as a presentation layer and as self-service, allowing the business user to view multiple interactive dashboards, gaining concise, actionable insights.