THE CLIENT PROBLEM
Our customer, one of the world’s largest airlines, knew its current-state data architecture fell short of meeting the demands for high-value, near real-time decision support. Data was available but required heavy, manual and time consuming manipulation in order produce the analysis that would better inform the planning and forecasting decisions which would make operational improvements.
THE SEATEC SOLUTION
We provided technical leadership for the design of a scalable, sustainable architecture that combined simulation data structures, routines, and processes to support effective data science models.
The SeaTec team developed data, performance and operability requirements, then combined this with simulation rules that slowly increased the number of variables to achieve operationally valid output.
Best practices for sustainability and repeatability were designed into the applications with reusable components.
Automation was deployed to streamline the orchestration of application processes.
THE CUSTOMER BENEFIT
Operational improvements – Improvement opportunities became known and actionable. analysts and business users through the use of an operations simulator capable of representing aircraft, crew, station, and schedule interactions/data.
Better and faster decision-making – Automated data capture and analysis processes reduced the time taken (and errors associated with manual entry) for analysts and business users who could now use an operations simulator capable of representing dynamic, real time operational data.
Enhanced planning and forecasting – Better data enabled the business focus to shift to the development of new and improvement of existing simulation-based models
Repeatable and sustainable solution – Adoption of a reusable framework and components and a database designed for scalability and reliability shortened delivery time, de-risked delivery and made the solution more easily supported.