.png)
We use smart discovery to determine what factors influence the measures in our Data model.
Let's run Smart discovery on one of our stories.
Click on "More"
Select a "measure" and "dimension" for smart discovery.
Wait a few seconds until the automatic story generation is completed. Smart discovery will generate four pages in total:
• Overview
• Unexpected Values
• Key Influencers
• Simulation
2.
On the Key Influencers page, you'll find information about all prominent Key influencers relationships that were found in your data, accompanied by automatically generated texts that provide explanations of the results of the analysis and their quality
in this case Discount, product and price are the key influencers that directly affect the margin. Based on the results of the analysis, this page may show additional charts, which focus on one or more key influencers. Every single chart allows you to add more key influencers to manually adjust them. Click on the bulb icon to see a list of all key influencers.
3.
Smart discovery generates a model in the background, which it uses to measure the relations in the data and the influence of each dimension. That model is just an approximation of reality, which means that it can't explain all values that occur in the dataset. The Unexpected Values page shows a list of all values that don't fit the model.
All values are shown in the table and in more detail in charts. If you click on a value, the charts will automatically adjust.`
4.
Simulation is a very powerful tool. Here, you can Simulation adjust single influencers and directly measure their influence on the measure.
in this, we can also use the what-if feature and simulate the scenario by changing the values.
Comments
Post a Comment