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Extracting Engineering Insights from Huge Volumes of Connected Equipment Data

engineer with glasses working on the computer with two screens showing the durability simulation and analysis software tools

Engineers in test & measurement and maintenance roles now have access to more operational data than ever - from low-cost digital data to communication buses and connected equipment in operation. This real-world usage data offers enormous potential to improve product durability and reliability, reduce downtime, and accelerate innovation. When harnessed effectively, this data can be used to:

  • Learn from connected equipment data
  • Use operational data to inform better design decisions
  • Enhance simulation models with real-world inputs

However, the sheer volume and complexity of this data can be overwhelming. Engineers often face significant challenges in processing and analyzing it - from ensuring data quality to building custom pipelines, all of which typically require time, coding skills, and specialist tools.

In this webinar, we’ll explore a real-world sensor dataset to demonstrate how engineers can overcome these challenges. We’ll show how to clean and validate data, apply engineering-specific analytics, and extract meaningful metrics - all without writing a single line of code. The result is a faster, more efficient path from raw data to engineering insight.

Join us to see how you can simplify your data workflow and unlock the full value of your sensor data - quickly, easily, and without added complexity.

Date: Wednesday 9th July 2025 | 4:00 PM CET

Presenter: Fred Kihm, Product Manager

Duration: 1 hour

Language: English

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