This fictional collaboration between Evenlode Analytics and an edge device manufacturer showcases the transformation of raw operational data into valuable insights. This project demonstrates how seemingly simple data can be processed and integrated to create a rich and detailed view of a product, enabling identification of failure modes and their potential causes.

The case study explores:
    •    Key components of a modern data analysis project.
    •    How an exploratory approach reveals multiple failure modes in a customer’s product by applying a combination of visual and machine learning techniques.
    •    Executive summaries and operational tools derived from the data.
    •    Data pipelines powering analysis and reporting .   
    •    A visual approach to training and assessing machine learning models.
    •    MLOps tools for assessing the need and benefit of re-training and the publication of new models.
    •    The flexible, containerised data platform used for all of the above.

This project not only serves as a detailed example of a data science initiative but also demonstrates the flexibility of our approach, offering ideas for where these techniques could be applied to your specific business’s needs.