Analyzing Data
- Updated2025-02-19
- 1 minute(s) read
Analyzing Data
Analysis Automation runs data analyses you define in analysis automation procedures. The procedures can save the result data in new TDM files or export management reports as a PDF or graphic. Reports provide in-depth insights on the tests you run and the results they produce. You can configure multiple analyses to run concurrently and analyze different aspects of your test setup.
The following table highlights tasks in Analysis Automation to meet common data analysis goals.
| Goals | Analysis Automation Task |
|---|---|
| Configure your analyses, and specify data types, data sources, and report format according to your requirements. | Create analysis automation procedures in DIAdem, Python, or a Jupyter notebook. |
| Run analysis automation procedures. | Add your analysis automation procedures to the Analysis Automation instance. Configure manual, triggered, or scheduled tasks to determine when to run procedures and which data source to use. |
Related Information
- Creating Analysis Automation Procedures in DIAdem
Create analysis automation procedures in DIAdem to perform recurring analyses with similar data in Analysis Automation, and export the results as a PDF or graphics file. Analysis automation procedures contain the analysis script, the parameter definition, and the search query for the data you want to analyze.
- Creating, Editing, Testing, and Uploading Analysis Procedures in Jupyter
Create, edit, or test analysis procedures in Jupyter and upload them to the procedures library in Analysis Automation. Analysis procedures define how SystemLink executes your automated data analyses and presents the results.
- Adding Analysis Automation Procedures
Upload analysis automation procedures to automatically analyze data.
- Adding or Editing Tasks for Analysis Automation Procedures
Use tasks to analyze data with analysis automation procedures.