Accelerate Data Analysis: From Spreadsheets to Insights with Easy, Code‑Free Tools

Engineers and technicians working with test data often struggle with spreadsheet limitations: frozen screens on large datasets, manual copying of data between files from different DAQ systems and hitting data size limits. Wrestling with Excel for measurement evaluation is detrimental to efficiency and productivity, but modern software can provide professional capabilities without the programming complexity.

This 60-minute webinar will explore how this software can transform measurement data analysis and enable instant visualization of massive datasets while automating complex evaluations. The session also will examine how to create meaningful reports without the manual work. An audience Q&A session will follow the technical presentation.

Attendees will learn how to:

• Visualize millions of data points in under 1 second
• Perform complex mathematical operations reliably without losing overview
• Use AI-assisted scripting instead of manual programming
• Generate publication-ready reports in minutes instead of hours

This webinar is designed for:

• Test engineers and technicians involved in mechanical, automotive, or industrial testing
• R&D engineers focused on system validation, control, or performance optimization
• Measurement and data analysts seeking faster, smarter ways to process test data
• Engineering managers and decision makers looking to enhance productivity and reduce testing time

Speakers:

Daniel Förder, Software Strategic Product Manager, imc Test & Measurement

Daniel Förder brings nearly 20 years of measurement technology expertise to his role as Strategic Product Manager for Software at imc Test & Measurement. With experience in technical sales, product ownership, and strategic product management, Daniel combines deep FAMOS knowledge with real-world insight into engineers' data analysis challenges. He is dedicated to making sophisticated measurement analysis accessible through knowledge sharing, partnerships, and community building. Daniel holds a degree in technical computer science from Brandenburg University of Applied Sciences.

Moderator:

Amanda Hosey, Editor, SAE Media Group