Advanced analytics

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The Advanced Analytoics function is an innovative tool that makes it possible to exploit the variety of your data to improve your operational performance. It turns your raw data into actionable insights. You want to:

  • Quickly identify the key performance factors of your processes
  • Optimize your processes and assets objectively
  • Detect anomalies and understand the origin of your problems
  • Making decisions based on facts
  • Rebuilding knowledge on the behavior of your industrial tool

An accessible approach for all

Designed for business users, the Advanced Analytics feature does not require data science expertise. It offers:

  • An intuitive interface that guides the user step by step
  • Clear and actionable visualizations
  • Easily interpretable results
  • A structured methodology for data mining

Analysis workflows adapted to your needs

Influence analysis

Ideal for understanding the relationships between your operational parameters and your performance. It makes it possible to identify the parameters whose variations influence the performance of a process or an activity, to find the optimal conditions on the selected parameters and to identify areas for improvement by exploring new conditions. This approach is perfect for understanding process behavior, optimizing and improving processes.

Comparison analysis

It makes it possible to compare two populations according to a large number of parameters in order to determine what differentiates them. This approach is particularly useful for helping your teams with problem solving activities.

Detection of anomalous categories

It makes it possible to quickly identify the sources of non-quality or failure by identifying the conditions that generate non-performance. This approach is ideal for resolving production defect problems or identifying causes of failure.

A scalable solution to meet your analysis needs

The Advanced Analytics function adapts to your specific needs and evolves with your organization, allowing you to process increasing volumes of data, to analyze increasingly complex problems, to easily share the results within your teams and to capitalize on the knowledge of your processes.