Last updated: Jan 18, 2024
This example deals with fictitious data that describes retail product lines and the effects of promotion on sales.
Your goal in this example is to predict the effects of future sales promotions. Similar to the condition monitoring example, the data mining process consists of the exploration, data preparation, training, and test phases.
This example uses the flow named Retail Sales Promotion, available in the
example project . The data files are goods1n.csv and
goods2n.csv.
- Open the Example Project.
- Scroll down to the Modeler flows section, click View all, and select the Retail Sales Promotion flow.