Platforms
Data utilization has significantly changed. Before, data was mainly used to automate individual tasks. The focus has moved to analyzing data in real time so that companies can improve performance and efficiency.
These capabilities empower them with more accurate forecasts and greater flexibility. This movement has meant that businesses need advanced data analytics tools to handle complicated information.
Build Your IoT Solution Faster
The Composite Variable Approach: Overall Equipment Effectiveness
One approach uses composite variables, which combine two or more scalar variables (i.e., single data points). One example is overall equipment effectiveness (OEE). OEE is calculated by multiplying:
- Availability rate
- Performance rate
- Quality rate
These offer great benefits for data analysis and AI applications.
Converting the Edge into Composite Variables for Data Analysis
Join us for a webinar as we discuss composite variables and their role in data analysis. You will see how they serve as the basis of data that AI systems and analysis tools in cloud platforms can use.
In this session, we will explore the practical applications of these variables to improve data-driven decision-making. You will learn how they are changing data analysis across multiple industries and how to implement them with the deviceWISE® platform, powered by Telit Cinterion.
We’ll show you how deviceWISE enables composite variables to leverage real-time data to enhance operations. You’ll gain insights that empower you to stay ahead of competitors and transform your operations and strategies for data analysis.
Key Takeaways
Attendees will learn the following:
- The differences between composite and scalar variables to understand them better
- The benefits of leveraging composite variables for analyzing data
- How these variables can enhance operations and efficiency
- The advantages of a comprehensive IoT systems management platform
- How to provide next-level solutions by orchestrating machine data
- How deviceWISE uses its built-in unified namespace and PeerLink features to analyze and access industrial data
