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

Onboarding airlines across 3 continents on a central data analytics platform with activities such as training and enablement of new users

Challenge

• Need for airlines’ data scientists and executives to explore data independently and be able to implement new use cases on their own

Solution

• Prepared educational material, such as presentations and project examples
• Gave lectures and conducted workshops to train new users to use the Foundry platform

Impact

• Enabled new users to acquire new skills allowing them to implement future use cases and to analyse data independently

Implementing a data platform to centralise maintenance data from hundreds of airlines and enable predictive maintenance models

Challenge

• Integrate data from 100s of airlines on a single platform
• Reduce or eliminate operational interruptions and minimise the number of aircrafts immobilised due to unforeseen maintenance needs

Solution

• Integrated sensor data and telemetry into central data lake
• Developed predictive maintenance model outputting the probability of maintenance need in the next 5 flights for each aircraft

Impact

• Notable improvement in speed of problem detection, triaging and resolution
• Enabled feedback loop to aircraft design teams to prevent similar issues from reoccurring

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

• 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)