In this module, you learned about different tools that are used to gain deeper insight into your data.

Additionally, you learned how to:

  • Break down a measure by various attributes across different dimensions through the decomposition tree.
  • Ask questions and get answers from your data in the form of a visual with the Q&A visual.
  • Use machine learning to help find the drivers behind your metrics with key influencers.
  • Add dynamic reference lines to your visualizations with the Analytics pane.
  • Create a numeric adjustable parameter value with the what-if analysis.
  • Use the power of R and Python at any stage in the process of using your data.