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