Context and objectives
A leading aero maintenance company wanted to become more efficient in maintaining specific aircraft equipment.
To do so, it wanted to identify and shape a strategy to develop data-driven maintenance services.
Outcome
A five-year plan, now being successfully executed by the company.
Our approach
Step 1: assessing the existing data ecosystem and scoping the target services
- A detailed analysis of raw data structures to assess the feasibility of data-driven maintenance services, enabling an in-depth feasibility study of predictive and real-time maintenance models.
- Each identified use case was then assessed for its value, its position in the value chain and its synergies with the company's existing business, resulting in a prioritised list and a data governance study for successful implementation.
Step 2: market analysis
- Around 40 expert and customer interviews produced a thorough assessment of the competitive landscape and customers' willingness to pay, along with a benchmark of data acquisition technologies, leading to detailed conclusions on market dynamics, accessibility and competitive positioning.
Step 3: strategy and roadmap
- Building on the first two phases, definition of a precise go-to-market approach, including the key offer components, potential partnerships, an actionable strategic plan and the implementation roadmap.
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