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
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.
Lovy Singh,
Systems Engineer
Lovy Singh is a systems engineer for JMP Statistical Discovery. He holds a master’s degree in chemistry from the University of Oregon and has worked across multiple high-tech and scientific fields, including drug delivery, small-molecule fluorescent probes, semiconductor manufacturing, and advanced lithography. His experience includes roles at Bend Research, Microchip Technology, and Keysight Technologies. He has also consulted in the cannabis industry on THC-to-CBN conversion and contributed to neural implant research at the University of Oregon, applying semiconductor thin-film methods alongside two-photon lithography to develop micron-scale 3D neural devices. Since then, Singh has been helping JMP customers explore data, improve processes, and communicate insights effectively.