b. Select the
Features
and
Category Columns
needed for cluster analysis.
c. Choose
Number of Clusters
and enter a desired value.
Run the algorithm
Choose
Run
to execute the scenario
Choose
OK
to switch to the
Results
view to verify the execution results
Market Campaign Success
In this use case, we identify what particular marketing campaigns are successful and how to position, on what
cluster of the customers.
Expert Analytics
Select the LUMS for Market Campaign Success
a. Launch Expert Analytics in SAP Predictive Analytics.
b. Open menu File and choose Import to folder and select
SalesAndMarketing_Market_Campaign_Success.lums file and import, or select the file in the
Documents
list, after the file is imported.
Verify the data
a. Choose
Prepare
to ensure that the data has loaded properly
Switch to the
Predict
panel to view the predictive model.
Adjust the
R-K Means
Algorithm Component, if needed.
a. Select
Configure Settings
in each of the
Cluster Customers Survey
components
b. Select the Features needed for cluster analysis.
c. Set
Number of Clusters
to a desired value.
Adjust the
R-MONMLP Neural Network
Algorithm Component, if needed.
a. Select
Configure Settings
in each of the
Cluster Customers Survey
components
b. Select the Features needed for training the neural network.
c. Select Cluster Number from previous R-K Means Clustering as the Target Variable.
Run the algorithm
Choose
Run
to execute the scenario
Choose
OK
to switch to the
Results
view to verify the execution results.
Choose
Save as Model
and give a name for the model (The default is called
TrainedNeuralNetworkModel).
Choose
Overwrite, if exists
if you intend to train the model more than once.
Switch to Prepare panel. Choose
New Data Set
button on the upper right corner of the screen and
add the new dataset (Market_Campaign_Success_data_netnew.xlsx),
Once the new dataset to predict the cluster is added, switch to the
Predict
panel again. Choose the
TrainedNeuralNetworkModel from the Components selector Models.
Configure the properties of the TrainedNeuralNetworkModel
a. Select
Configure Settings
of the TrainedNeuralNetworkModel
b. Select the Features needed for neural network analysis.
Run the algorithm
a. Choose Run to execute the scenario
Choose
OK
to switch to the
Results
view to verify the execution results
