CTS FWR5-3105SFP-CW-AC-DR Series, Руководство пользователя

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Data Type: Text Files
Folder : <location where metadata repository files are stored>, for example c:\MDR_S&M.
Select OK
Customer Segmentation
In this use case we focus on the customer buying pattern and cluster them accordingly.
Expert Analytics
Using Logistics Information System tables (ERP) as the data source
Select the LUMS file for Customer Segmentation.
a. Launch Expert Analytics in SAP Predictive Analytics.
b. Open menu File and choose Import to folder, select
SalesAndDistribution_Customer_Segmentation.lums and import, or select the file in the
Documents , after the file is imported.
c. In the dialog box, enter the SAP HANA server details, your user name, and password.
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 HANA K-Means Customer Segments
– all KPIs
Algorithm Component
a. Choose Configure Settings in HANA K-Means Customer Segments
– all KPIs
component
b. Select the Features and the Category Columns needed for cluster analysis.
c. Choose Number of Clusters and enter a desired value.
The number of clusters must be less than number of transactions. Typically, the number of K is
usually between 3 and 10.
Adjust the HANA K-Means Net Value and Incoming Returns Algorithm Component
a. Choose Configure Settings in the HANA K-Means Net Value and Incoming Returns component
b. Choose the Features needed for cluster analysis.
c. Set Number of Clusters to 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.
Using SAP HANA Live for ERP as a data source
Select the LUMS file for Customer Segmentation.
a. Launch Expert Analytics in SAP Predictive Analytics.
b. Open menu File and choose Import to folder and select
SalesAndDistribution_Customer_Segmentation_hba.lums file and import, or select the file in the
Documents , after the file is imported.
c. In the dialog box, enter the SAP HANA server details, your user name, and password.
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 HANA K-Means Algorithm Component
a. Choose Configure Settings in HANA K-Means Algorithm component
b. Select the Features and the Category Columns needed for cluster analysis.