Case Study: Oshkosh achieves real-time predictive maintenance and major cost & downtime reductions with Dataiku

A Traditional Organization + a Modern Data Science Practice

Oshkosh, a 100+ year global manufacturer of specialty trucks and access equipment, faced siloed analytics, messy spreadsheets, and limited collaboration that prevented its data science practice from scaling. In 2020 they adopted the Dataiku platform (with onboarding support from Excelion Partners) to provide an all‑in‑one, governable, collaborative environment that works for both coders and non‑coders.

Using Dataiku, Oshkosh centralized hundreds of datasets, enforced governance and permissions, and deployed predictive maintenance (CBM), edge ML, and automated reporting solutions. Early pilots showed 2–3x improvement in maintenance intervals (over 50% reduction in downtime and support costs), saved thousands of labor hours and potentially millions of dollars across fleets, and reclaimed tens of employee-hours per week—driving higher analytics ROI, product innovation, and sustainability.

Oshkosh

Michael Schuh

Chief Data Scientist for Corporate Engineering