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With Operations Insight Analyzer, users can access time series, non-time series, and aggregate data stored in MindSphere's Integrated Data Lake (IDL), or in Internet of Things (IoT) databases.

Simple KPIs

Simple KPIs provide a quick means of monitoring machine or production line data by running the KPI on a schedule and writing the KPI calculation results data to a user selected variable in MindSphere's asset model. Simple KPIs are written in Javascript, can include conditional loop statements, and be scheduled to run automatically on the day and time you select.

Simple KPIs are processed internally by Visual Flow Creator, and utilize an output variable that must be created beforehand as part of the asset model created in MindSphere Asset Manager.

Configuration options include:

  • Up to five input variables, with one output variable
  • Simple or advanced calculation cycles

Advanced KPIs

Advanced KPIs utilize a KPI format with easy-to-use features, such as drag and drop functionality for KPI components, and operators that cycle through +, -, /, * by clicking. Advanced KPIs support calculation filters to include or exclude specific values or ranges of values from the source data. Advanced KPIs support aggregated time series data and non-time series data stored in MindSphere's IDL or IoT databases.


Data sources located in the IDL and SDI are available to MindSphere Capability Package subscribers only.

Advanced KPIs and Analysis

You can add an analysis directly to an advanced KPI without leaving the page. When the KPI analysis runs, it produces a chart and results grid, each with additional configuration features and drill-down.


Data sources located in the IDL and SDI are available to MindSphere Capability Package subscribers only.

Adding an analysis to a KPI provides additional configuration options, including:

  • Sorting and filtering results table data individually by column
  • Customizing how the analysis results are grouped on the chart's X-Axis (and table columns)
  • Drilling down into analysis data
  • Viewing the history of the KPI's field combinations
  • Scheduling the KPI to run automatically
  • Setting a value threshold that, when crossed, notifies you
  • Setting up an auto-discovery configuration to run automatically when a threshold is crossed

You can use these links at the top of the KPI page to navigate to the Create a KPI page:

Analytics overview

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Except where otherwise noted, content on this site is licensed under the MindSphere Development License Agreement.

Last update: April 4, 2022