Data Tech 2026

Manufacturing organizations collect massive amounts of process data, yet many struggle to translate it into measurable financial impact. This talk explores how to bridge the gap between process engineering insights and business outcomes, using examples to show how raw manufacturing data can be transformed into actionable insights tied to cost savings, yield improvement, and operational efficiency. We’ll cover practical workflows including data cleansing, contextualization, and aligning metrics with financial KPIs.

Attendees will leave with a clear framework for connecting shop floor data to business value, along with examples of where traditional data science efforts fall short—and how to correct them. This session is designed for data scientists, engineers, and business leaders who want to move beyond dashboards and deliver measurable ROI.