Machine Learning Model for increase of revenue

Tomatenmark

Hi everybody,

for university I got a dataset of a telecommunication companie. I shall develop activities to increase the revenue.

I thought about churn prevention as first plan to increase revenue.

But for development of other activities I have some problems how to start.

I have a column MonthlyRevenue which is a float number and a column PercChangeRevenues which determines the change of revenue to the month before. 

So I think I have to analyse which combination of attributes leads to a high value of revenue.

Which steps do I have to do after Data preparation (missing values and so on) ? Which operators can I use?

And is it better to group revenue into intervals?

For example revenue groups:

Group 1: 0-20€

Group 2: 21-40€

Group 3: >40€

Attached you can find my data.

Thanks for support  

Marc

Telcontar120

I would recommend going through some of the basic tutorials in academy.rapidminer.com to learn how to set up your data and use RapidMiner.  Then I would start by trying a simple linear regression on your monthly revenue variable (your label) with your other attributes.

Tomatenmark

here is the Data File