One of the most impacted industries during Covid, was the Airline industry.

Bringing multiple data sources into one single view and pane of glass to make informed and smarter decisions, was vital to change the maintenance program – and bring aircraft back online after long term groundings and storage. Airlines needed to look at over a year's worth of data to ensure that the aircraft were safe while minimising any potential surprises.

The was also a need to improve work scope to maximize capability, helping to cope with losing skills and an aging workforce, post-COVID, that is almost impossible to replace at the same rate.  New skillsets were created in the team to extract value from this data, combining data analytics and practical knowledge of the systems. Bringing this all together brought success to predictive maintenance and defect management teams.

Combining data sources of sensors, maintenance information data, in-flight alerting, spare parts type provisioning, and other general IP into an accumulated data centralised capability speeds up the research activity. This effectively aggregates the data, bringing it into a common format or common location.

Hear how these systems (often SAAS) result in much more varied data sources, reducing the specialist capabilities and coding capabilities required.  They also don’t need to be implemented across all the infrastructure across the business.

Benefits are being better at maintenance activity, continually improving our maintenance program to lower the cost of maintaining the asset, maximizing yield, improving safety and minimizing disruption.

• There is no perfect tool – just start the journey and your use of the tools will evolve.
• Extracting the data away from the original source allows great manipulation.
• Understand that technology is accelerating at a rate faster than most of our assets
• You have to develop the skills within your team to make smarter decisions.