The client
A global leader in diagnostic devices, with thousands of instruments installed in hospitals and laboratories worldwide. With the EPI module of SAIP it moved from subjective performance assessment to a data-driven system that puts maintenance in the context of real complexity.
The challenge
- No visibility over the real performance of individual FSEs, hard to assess objectively.
- Inability to identify specialists for critical interventions, with sub-optimal assignments.
- No mechanism to identify and spread maintenance best practices.
- Difficulty designing tailored training paths without precise diagnostics.
The solution
- Multidimensional statistical models: costs, times, recurring faults, evolution of conditions after maintenance.
- Contextualisation by geography: challenges vary by region and market.
- Automatic insight into who excels at which categories of intervention.
- Turning raw data into performance profiles for stratified management.
The results
clarity
on technicians for high-complexity interventions
best-practice
formalised and spread across the team
tailored
data-based training programmes
