7️⃣Driver Analysis
Understand the factors that influence KPIs. Through the Driver Analysis feature, you can easily identify the crucial factors influencing the KPIs you want to explore.
1. What is Driver Analysis?
Driver Analysis is possible only for numerical KPIs. If you haven't registered a numerical KPI yet, go to KPIs Management and register one!
There are times when we want to know which factors influence sales the most. By using the Driver Analysis feature, you can determine which factors have the most influence on user-defined KPIs, such as sales.
Driver Analysis is a regression analysis function that finds the most important factors (variables) for the chosen KPI.
2. How to Use Driver Analysis?
Here's a basic description of the Driver Analysis interface.
Each section of the interface has the following functionalities:
Filter
This has the same function as the dashboard filter. You can select or exclude desired variables to view Driver Analysis results. By clicking on the Variables
tab to the right of the filter, you can include or exclude derived (automatically generated) variables for the analysis.
Derived (automatically generated) variables are HEARTCOUNT's unique feature that auto-processes numerical variables into categories to discover non-linear patterns.
Click here for a detailed explanation of this feature.
Variable Selection & Auto-play
[All] allows you to see the results integrated from simple and multiple regression analysis. Simple regression can be viewed under [1 Variable], and the results of multiple regression analysis can be detailed under [2 Variables].
When you click the play ▶︎ button, a video like the one below will appear.
When using Driver Analysis with two variables, it's essential to interpret both the coefficient of determination and the adjusted coefficient of determination.
P-Value
The P-Value indicates the probability that the analysis results occurred by chance. Typically, if the P-Value is less than 0.05, it's considered "statistically significant." Conversely, a P-Value exceeding 0.05 suggests a higher likelihood of randomness, and the relationship is deemed "not statistically significant."
Records
The number of records used in the analysis (excluding records with irrelevant values).
Smart Link
Use the Smart Link to move to the Drill-Down and Explainer page for the specific variable.
Visualization Screen & Control Window
The topmost result in Driver Analysis is visually displayed on the visualization screen. You can visually verify the results through scatter plots, bar graphs, etc. For a detailed description of the visualization screen, click here, and for the control window, click here.
Last updated