DATA INSIGHT
LIVE WEBINAR
Turning Manufacturing Data into Confident Decisions
Date: Tuesday, Dec. 1
Time: 2:00–2:30 p.m. ET | 11:00 a.m. PT
Duration: 30 minutes
Registration: FREE
Effective manufacturing depends on timely, data-driven decisions that protect quality, improve efficiency, and maintain process stability. This session demonstrates how JMP transforms everyday process data into clear insights that drive measurable operational improvement.
See how to monitor processes in real time using Control Chart Builder, quickly isolate sources of variation with root cause analysis techniques, and streamline troubleshooting with the control chart triage workflow. Rather than reacting to issues after they escalate, teams gain a structured approach to identifying, diagnosing, and resolving instability early.
The session also highlights how JMP Live enables secure, web-based sharing of analyses – keeping engineers, quality teams, and leadership aligned around the same trusted information.
Learn how to:
- Detect process instability early and prioritize the issues that matter most.
- Identify and validate the true drivers of variation using structure analysis.
- Share interactive results across teams to support faster, more confident decisions.
By integrating monitoring, diagnostics, and collaboration, manufacturing organizations strengthen process control, reduce defects, and accelerate continuous improvement.
About the presenters
Clark Ledbetter,
Senior Systems Engineer
Clark Ledbetter is a Senior Systems Engineer at JMP Statistical Discovery. Before joining JMP, he spent more than 20 years in high-tech manufacturing, with experience spanning the automotive, semiconductor, aerospace/composites, and optics industries.
Throughout his career, Ledbetter has held roles in process engineering, quality engineering, project management, research and development, facility start-up, and continuous improvement for high-volume manufacturing. He is passionate about helping organizations improve performance by enabling data-driven decision-making and fostering collaboration across cross-functional teams.
Rashmi Deshpande,
Senior Systems Engineer
Rashmi Deshpande is a statistician at JMP Statistical Discovery with more than 11 years of experience in the biopharmaceutical industry. She specializes in applying statistical methods across manufacturing, analytical sciences and technology, and quality control.
Before joining JMP, Deshpande partnered with cross-functional teams to translate complex data into clear, actionable insights for scientists, leadership, and regulatory agencies. She is also an experienced instructor, passionate about helping technical teams build statistical knowledge and confidence through practical, data-driven problem solving.