Recent studies show a reduction of maintenance budgets by 30 to 40% if a proper implementation is undertaken by Big Data Analytics enable the processing of large amounts of data in short amount of time.
Reduce Maintenance Costs
thru Predictive Analytics
Predicting Component Failures
In Airline operations if we can predict Component failures(within 5 cycles), one can ensure availability of spare at a particular station or carry it on board(fly away kit) depending on your operation to prevent disruption (Technical delay/cancellation).
Impact on Airline Operations
Identifying the scenarios that can show the impact and simulating the same is a critical step in this EASPP process. BytEdge’s Simulation Framework uses statistical methodologies to run the simulations. At the end you get to see results without actually going through the exercise.
Aviation
Based on Industry data, one Technical cancellation at a full service carrier can result in financial impact of 0.5 to 1 Million USD.
ROI using Predictive Analytics
For an Airline/Operator with Fleet size of 50 A/C in operation, could report around 10 Technical delays/cancellations in a month.
Predictive Customer Analytics
As per DGCA reported data of domestic airlines, on an average 30% passenger complaints are due to Customer service and 25% are related to baggage issues.
