Interacting with Analysis Results in SAS Field Quality Analytics
In previous posts I have talked about how to analyze an alert and how to create analyses in SAS Field Quality Analytics. This post will cover the basics in how to interact with analysis results. While each analysis has different output and display options there are a few common themes including interactive results, filtering options, and analyzing the results even further.
Interactive Results
Most of the analyses in SAS Field Quality Analytics include a table as well as a graph. These results are interactive. If you select an element in the graph, then it will highlight automatically the corresponding row in the table. For example, if I select the highest model code in the pareto below, it highlights the corresponding row in the table.
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Additionally, you can select more than one object at a time, and it will highlight the corresponding rows on the table. For example, if you select the two highest model codes in the pareto below, then both rows in the table will be highlighted. To select more than one object hold down the shift key.
Filtering Options
Some results include a way to filter what is displayed. For example, in a failure relationships analysis you can filter results based on confidence in the analysis.
Other analysis results allow you to specify specific values of a variable to include in the results. This can be done by selecting the filter button and then selecting specific values. For example, in a geographic analysis I can limit the values that are displayed by selecting the desired values.
Analyzing Alerts Further
For every analysis there is an option to analyze further. This allows you to drill even deeper into where the root problem is occurring. There are two options for analyzing further perform combined analysis and perform separate analysis.
The perform combined analysis allows you to combine values from the results into one child analysis. For example, if I selected Gemini and Galacto in a pareto analysis and selected perform combined analysis it would create one data selection subset that includes models with the values Gemini and Galacto. I could then create child analyses such as a details table based on this selection.
The perform separate analyses option is going to create a data selection subset for every value selected. For example, in the pareto if I select the values Galacto and Gemini it is going to create a unique data selection subset for each value.
While each analysis type has different graphs and ways to interact with results, the core concepts that were discussed hold true to every analysis. SAS Field Quality Analytics allows you to easily dig deeper into an issue to help you uncover what the underlying issues leading to unwanted claims. Additional information can be found in the SAS® Field Quality Analytics on SAS® Viya® course which is part of the SAS Internet of Things Learning Subscription.
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