Examining the data
Class
. Product type.Cost
. Unit price.Promotion
. Index of amount spent on a particular promotion.Before
. Revenue before promotion.After
. Revenue after promotion.
The flow is simple. It displays the data in a table. The two revenue fields
(Before
and After
) are expressed in absolute terms. However, it
seems likely that the increase in revenue after the promotion (and presumably as a result of it)
would be a more useful figure.
The flow also contains a node to derive this value, expressed as a percentage of the revenue
before the promotion, in a field called Increase
. A table shows this field.
For each class of product, and almost linear relationship exists between the increase in revenue and the cost of the promotion. Therefore, it seems likely that a decision tree or neural network could predict, with reasonable accuracy, the increase in revenue from the other available fields.