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a. Launch Expert Analytics in SAP Predictive Analytics. Open menu File and choose Import to
folder and import or if the LUMS file is already imported browse through the Documents list for
Retail_Market_Basket_Analysis_CAR.lums file
b. In the dialog box, enter the SAP HANA server details, your user name, and password.
Verify the data
a. Choose Prepare panel to ensure that the data has loaded properly.
Switch to the
Predict
panel to view the predictive model.
Adjust the
Time Period
filter component
a. Choose
Configure Settings
in the
Time Period
filter component.
b. Under
Row
Filter
, change the filter properties for the
Business Date
and enter a date range
applicable for transaction analysis.
Adjust the
Filter:Store xxxx Weekday
filter component
a. Choose
Configure Settings
in the
Filter:Store xxxx Weekday
component
b. Under
Row Filter
, change the filter properties for
Store ID
to the appropriate Store ID for
analysis.
Adjust the
Filter:Store xxxx Weekend
filter component
a. Choose
Configure Settings
in the
Filter:Store xxxx Weekend
component
b. Under
Row Filter
, change the filter properties for
Store ID
to the appropriate Store ID for
analysis.
Adjust the
Apriori : Across all stores
SAP
HANA Apriori component
a. Choose
Configure Settings
in the
Apriori : Across all stores
component
b. Change the
Support
level to an appropriate value
c. Change the
Confidence
level to an appropriate value
Run the algorithm
Choose
Run
to execute the scenario
Choose
Yes
to switch to the
Results
view for verifying the execution results.
Customer Loyalty Programs
In this use case, we focus on how a particular set of customers are moving from one segment to the other.
Whether a particular customer is spending more and getting more valuable or is there a decline which would
eventually effect the top line revenues.
Expert Analytics
For non-SAP Customer Activity Repository installation
Select the LUMS for
Customer Loyalty
a. Launch Expert Analytics in SAP Predictive Analytics. Open menu
File
and choose
Import
to
folder
and import or if the LUMS file is already imported browse through the
Documents
list for
Retail_Customer_Loyalty.lums file.
b. In the dialog box, enter the SAP HANA server details, your user name, and password.
Verify the data
a. Choose
Prepare
panel to ensure that the data has loaded properly.
Switch to the
Predict
panel to view the predictive model.
Adjust the
Customer Last Year
Filter component
a. Choose
Configure Settings
in the
Time Period
filter component.
b. Under
Row Filter
, change the filter properties for the
Review Period
and enter an appropriate
period applicable for clustering analysis.