HERMAN Data Analysis Software Demo
Don't watch the demo. Run it.
Please support us via using HERMAN Data Analysis Software — start by trying it right here, on this page, with real computation and no server.
Function 1 of 4
Data Cleaning & Discretizing
Which numbers can be trusted — and which bins do they belong to?
The first transformation is trust. HERMAN finds duplicates, fills what is missing and converts continuous values into meaningful ranges — the discretizing that every model downstream depends on.
Function 2 of 4
Data Classification
Which category does every customer fall into?
Given the cleaned record, HERMAN assigns every customer to a class — the basis for targeted promotions and honest segmentation.
Function 3 of 4
Data Clustering
Which customers behave alike, without being told?
No labels, no assumptions: the algorithm discovers the groups that already exist in your data — and names them by behaviour, not by guesswork.
Function 4 of 4
Frequent Pattern Mining
What buys together, stays together.
Baskets repeat. HERMAN mines the repeating combinations and turns them into cross-promotions, shelf placement and bundles.
After the demo