Problem

• Car manufacturer holds large global leasing portfolio that has to be periodically evaluated
• Current valuation predictions are inaccurate

Solution

• Based on a large volume of past transactions (12 years) and cars parameters (model, mileage, options), etc. predict accurately the residual value of the car

Impact

• Accuracy of the valuation improved by $100M’s (from large overall base value)

Problem

• Siloed data spread across multiple systems
• Inability to properly analyse manufacturing/test/sales data on a common platform

Solution

• New data infrastructure architecture and buildup

Impact

• Enterprise data lake. Governed, and secured
• Foundation for the analytical use cases

Problem

• Our client, a global automotive company, lacked a central data platform for forecast generation and analysis. As a result, its teams could not collaborate or analyze data efficiently.

Solution

• a modern data platform with long-term scalability was scoped, designed and implemented together with the initial first Proof of Concepts

Impact

The new platform enables the customer to:

• Develop and operate forecasting models quickly and consistently
• Collaborate on and reuse models, preventing redundant code development

Problem

• The customer was creating an industry leading airplane data platform
• Data from 100s of global airlines needed to be integrated on a single platform to allow predictive maintenance.

Solution

• Unit8 team helped with onboarding maintenance data from airlines in order to create data ecosystem accessible to airlines and manufacturers

Impact

• Unit8 contributed to the creation of the data platform allowing the customer to gain deeper visibility into the airplane data
• New level of insights for predictive maintenance

Problem

• Upon creation of the data platform for airplane maintenance, the customer wanted to connect different airlines to the platform

Solution

• Unit8 helped onboard several airlines onto the common aviation platform to exchange airplane maintenance data

Impact

• Customer gets more granular visibility into the airplane mechanics and operations
• New level of insights for predictive maintenance