Articles on: WeldCloud Productivity

Weld data Analytics feature

Analytics: advanced insights into your welding data


WeldCloud Productivity app features a new functionality called Analytics. Welding data insights provided by Analytics are a powerful tool to quickly identify weld sessions outside WPS limits, to understand distribution and range of welding parameter within your welding machines fleet and much more.


Let's have a deeper look at the Analytics feature

To enter Analytics in WeldCloud Productivity app, simply click on the Analytics item in the left menu under Weld Data section.



Analytics page opens with default settings and filters


The Analytics page consists of three main parts:


  1. Filters menu
  2. Settings menu
  3. Filters and settings output
  4. Results chart


Filters and settings on Analytics page


Filter menu

Filter menu on the right gives opportunity to filter welding sessions records to be analyzed.
Four filtering sections are available:


  1. Timespan
  2. Common filters
  3. Excludes
  4. Additional filters


Please explore the different filtering options to select welding sessions records you want to apply Analytics capabilities


Settings

Analytics settings menu is used to specify visualization parameters and range modes for the data points visualization chart
Here you can define:

  • Parameters shown on X and Y
  • Ranges of shown parameters
  • Data set records under evaluation
  • Range mode


Different parameters can be selected for chart analysis:


  • Amperage (avg, min, max)
  • Voltage (avg, min, max)
  • Arc time
  • Wire feed speed (avg, min, max)
  • Heat input (avg, min, max)
  • Travel speed (avg, min, max)


For each parameter a range can be specified and two range modes are available: Filter data and Limits
Filter data mode filters out records and only those in the specified ranges will be shown in the analytics chart.
Limits mode highlights an area on the chart corresponding to the ranges so you can quickly identify which data point is within the limits.


Please have a look at the following example to get more details on Analytics


Updated on: 11/04/2025

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