Overall model is split in 3 steps, that are the back bone of DataMa PIVOT
1. Dimension importance
Identify which dimension matters when following a KPI.
See details here
2. Clustering
understand the clustering made on by DataMa on your continuous dimension or aggregated in the bucket Other (value representing less than x% of the total)
See details here
3. Interdependence
Analyze the correlation between each dimension and the distribution between dimensions.
See details here