Live In-Person Event
Harnessing Analytics to Transform Manufacturing
Join us for an enlightening, in-person event in Indianapolis and explore strategies to transform manufacturing data into faster, smarter decisions.
Date: Tuesday, Oct. 6
Time: 1-4 p.m.
Venue: Guggman Haus Brewing Company
Location: 1701 Gent Avenue
Indianapolis, IN 26202
Registration: Free, but registration is required.
What does digital transformation really mean for manufacturing teams?
Join us for an interactive session to see how JMP and JMP Live help engineers and scientists automate analysis, make faster decisions, and improve collaboration. Using real-world examples and live demonstrations, we explore practical strategies to drive efficiency, quality, and continuous improvement.
Agenda
1:00-1:30 p.m.
Registration and networking
1:30-2:30 p.m.
From Data to Decisions: Modern Analytics for Manufacturing Excellence
Manufacturers generate more data than ever before, yet many teams still struggle to transform that information into timely, actionable decisions. In this session, explore how engineers and scientists can move beyond spreadsheets and isolated analyses to create connected, repeatable workflows that accelerate problem solving and improve process performance.
Topics include:
- Transforming raw manufacturing data into actionable insights.
- Quality and process engineering applications.
- Monitoring, understanding, and improving process performance.
- Identifying sources of variation and opportunities for optimization.
- Real-world examples of organizations using analytics to drive measurable improvements.
2:45-3:45 p.m.
Scaling Analytics Through Automation and Collaboration
As organizations advance their digital transformation initiatives, the challenge becomes less about conducting individual analyses and more about sharing knowledge, automating routine tasks, and enabling teams to make better decisions together. This session demonstrates how organizations can extend the value of analytics across departments, sites, and business functions.
Topics include:
- Building repeatable analytic workflows that support operational excellence.
- Creating scalable processes that support engineering efficiency.
- Organizing and managing analytic content for broad accessibility.
- Sharing interactive results and insights.
- Enabling collaboration between engineering, quality, manufacturing, and leadership teams.
- Supporting mass customization and data-driven decision making at scale.
3:45-4:00 p.m.