all systems go

Since the original challenge 05 and 09 was not accepted, we sat together thinking of what we can do with the ressources we had.

We are modelling heat demand based on outside temperatures.

The original file (anonymized customer data) was analyzed on BigML using random forest.

The most valuable attributes were the amount of contacts to customer center, the Bonity-Index and the Billing-Type.

We are working on the analysis of data

Results were not new: High contacts result in a high chance of bad bonity. The best paying customers use e-Bill or auto-payment.

Other than that, the data is too bad for further analitics. But more data we cannot provide (monopole). Challenge aborted...

Requirements Engineering, Selections of Tools and Data to use

Now serving beer!