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f.
Select Start Year
g. Select Start Periods
h. Select Periods to Predict
Adjust the
HANA Triple Exponential Smoothing Advanced Properties (Optional)
a. Select Alpha, Beta, and Gamma
Adjust the
HANA Writer
Data writer component
a. Select Configure Settings
b. Specify Schema Name, Table Type and Table Name as appropriate for your site. Keep the
default configuration whenever possible.
Choose
Run
to execute the scenario
Choose
OK
to switch to the
Results
view for verifying the execution results.
Select available charts icon to display results in charts.
Switch to Visualize panel and Select Components selector to display results in additional charts.
Switch to Compose panel and Select Components selector to display results in storyboards.
Demand Cluster
Select the LUMS for Demand Cluster Analysis
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
Customer_Demand_Cluster_Analysis.lums or Customer_Demand_Cluster_Analysis_DSiM.lums
(for SAP Demand Signal Management data) 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
SAP
HANA K-Means
Algorithm Component
a. Choose
Configure Settings
b. Select
Features
c. Select
Number of Clusters
Adjust the
Filter
(only in Customer_Demand_Cluster_Analysis.lums)
a. Choose
Configure Settings
b. Select
Row Filter
and update the value and Validate
Adjust the
SAP HANA C4.5 Component
(only in Customer_Demand_Cluster_Analysis.lums)
a. Choose
Configure Settings
b. Select
Features
c. Select
Advanced
and select
Minimum Split
Adjust the
SAP HANA Normalization
a. Choose
Configure Settings
b. Select
Selected Columns
c. Select
Normalization Type
d. Select
New Maximum
e. Select
New Minimum
Adjust the
SAP
HANA Writer
Data writer component
a. Select
Configure Settings
b. Specify
Schema Name
,
Table Type
and
Table Name
as appropriate for your site
Choose
Run
to execute the scenario