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Generating Actionable Data Insights

Last Modified: June 24, 2021

Customize NI SystemLink TDM components extract the information from your test data. Use computational transformation and analysis, and visualize results in a structured report to make informed decisions about your automated test and monitoring setups.

SystemLink automates your analysis process from the files entering your system to data harmonization, data indexing, analysis, and report generation. The Data Maintainer role configures the system setup. This involves configuring workspaces, determining data storage locations, making the appropriate application settings, and writing data preparation and analysis scripts.

  • File Service is the central SystemLink file repository which receives all data files from your test and measurement devices and software.
  • DataPlugins map your file types to the TDM model for further processing.
  • Data Preparation harmonizes raw data from varying file formats, naming conventions, and units to make the data comparable.
  • Data Indexing indexes files located in the File Service, another folder on a network share, or on servers in different geographical locations to increase the speed of retrieving data.
  • Analysis Automation applies automated data analyses defined in DIAdem, Python or Jupyter to the indexed data and creates managerial reports and result data.
  • Data Navigation is an interactive application which enables Collaborators to run search queries, download, convert, or evaluate indexed data and add data to Data Cart for further analysis in Data Analysis.
  • Data Analysis is an interactive application which allows Collaborators to run data analyses on data sources or Data Cart and create managerial reports or result data.

    In addition to the SystemLink web applications, DIAdem desktop application helps you create configuration scripts in VBS or Python for Data Preparation, Data Indexing, and Analysis Automation. DIAdem also allows you to interactively inspect, explore, and make calculations with individual data sets to gain in-depth insights from your data.

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