Aviation - Case study

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Data Automation for the Aviation Industry

Client

A leading Aviation Analytics and Digital Flight Information provider.

The Business Need

Our business requirement was to aggregate data from 459 sources in 5 categories including airport data, FSU, schedule airlines, schedule conversion, and standard format (XML) conversion. Our data automation competencies delivered clean and high-quality data optimized for the B2B sector that helped our client to obtain accurate and timely digital flight information for their customer base.

Challenges

While manually extracting aviation data from many sources and conducting source analysis, data aggregation, automation, and standardization, several challenges occur. The method becomes time-consuming and labor-intensive, requiring a significant amount of human labor and resources. And it is inefficient especially when dealing with large amounts of data and frequent updates or real-time data needs. Manual quality checks can be challenging to ensure accuracy and dependability due to human error and limits.

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Our Solution

We built a comprehensive solution that efficiently met the needs of our customer. The following elements made up the core of our solution:
● Simplified Data Aggregation: Involves extracting data through regulated crawl and anonymizer techniques and the aggregation approach is based on site behavior to facilitate better decision-making.
● Extensible BOT Architecture: Developed baseline bot in which customization and setup of native bots was achieved. These robust bots
can handle repetitive tasks, validate data, trigger notifications, and ensure seamless process execution.
● Quality Data Validation: Provided rigorous quality data checks that delivers accuracy and reliability in data. We delivered data validation for
our client’s aviation data with a coverage and accuracy above 96%.
● Seamless API Delivery: Developed automated processes for delivering data through APIs. It enabled seamless and secure data exchange between systems and applications and our client was able to access real-time data and integrate it into their own systems or applications.

Challenges

Improved Data Accuracy: Delivery of clean and quality data to our client was ensured. We achieved a data accuracy rate of 95% through
automated validation and verification processes.
Increased Operational Efficiency: Data automation reduced manual efforts by 50%. Reduced data processing time by 30%, allowing for faster
insights and report generation.
Enhanced Data Accessibility: Automated data feed from 459 total number of sources providing aviation data. Ensured timely and consistent
availability of data, resulting in 95% plus data accessibility.
Real Time Updates: Automation process ensures that real time data updates are collected rapidly and efficiently, processing large volumes of
data in a short period.

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