For more information on populating SAP_RDS_PA_BANK.CUST_ATTRITION, see the SAP
HANA Deployment for Banking on SAP Predictive Analytics Content Adoption rapid-deployment
solution (VD2) configuration guide that is part of this solution.
Choose
Analyze
BUS_PARTNER is
the only column with a Key value of 1. This value is generated by SAP
Predictive Analytics that identifies this column as the
Primary Key
of the table
On the next screen, enter
Attrition
as the
Target Variable
and make BUS_PARTNER the
Excluded
Variable
The value of the key is meaningless in terms of the analysis
On the next screen, enter the
Model
name: ATTRITION_SAP_RDS_PA_BANK_MODEL
Choose
Generate
A
Model
is created with the statistics and the metadata that are applied to the data set of customers to
predict whether or not they will attrite.
Review the
Training the Model
display to validate your
Model
.
The most important values are the quality indicator KI and the robustness indicator KR. For more
information about SAP Predictive Analytics values and indicators, see the Appendix.
On the
Using the Model
screen, verify that you are able to use the
Model
(see the following section on
the predict phase)
If you feel confident
that this model is reflective of the additional data sets you are planning to apply
this model to for prediction purposes,
Save
this model for these future runs.
a. Expand the
Save/Export
band and then choose
Save Model
b. Specify where you want the model saved (SAP HANA database, Text file, and so on) and
SAVE.
Once saved, models may be opened and reused. The folder location for the saved model is
selected when you open a saved model in SAP Predictive Analytics by selecting
Load a Model
.
If you feel less confident about your model
because the Predictive Power (KI) and Predictive
Confidence (KR) on the screen are low (less than .9), then more modeling is required.
When additional modeling fails to indicate a trend or does not provide significant degree of
confidence in the results, review the data set used. If the data set is divergent or sparse, it
cannot support the generation of a robust model.
In
Applying the Model
, select your SAP HANA instance and logon to the <DOMAIN USER> account.
In the dialog box, select SAP_RDS_PA_BANK.VW_CUST_PROFILE
Result:
The
Model
is ready for use as the basis for prediction. Continue to the next section for the
prediction phase.
Predicting
In SAP Predictive Analytics, the training and the prediction phases are a continuous process. To initiate the
Predict Phase
, continue from the last step of the previous section.
From
Run
, select
Apply Model
Specify the data set for predictions using your
Model
in the
Application Data Set
section.
a.
Select Database
b.
Browse
and populate the dialog box with your SAP HANA instance
c. Logon to the <DOMAIN USER> account.
d. Choose
Browse Data
e. In the dialog box, select SAP_RDS_PA_BANK.CUST_PROFILE (returning the data from the
table you previously loaded into SAP HANA)
If browsing the data doesn’t show this view, enter the name in the dialog box to use as a search
field
