In
the Applying the Model
screen
Application Data Set
Data Type: Data Base
Folder: HANA ODBC connection
Data: DM_PROJECT_TOTAL - select CLOSED = 0
Generation Options
Generate: choose
‘Advanced Apply Settings’ – select all the options
Mode: Apply
Results Generated by the Model
Data Type: Text Files
Folder: local folder
Data: result_seg_3_targets _summary_active_adv.txt
Select
Apply
After reviewing model results, choose Next.
Choose Save/Export and choose Save Model
Saving the Model
Model Name: default
Description: description of model
Data Type: Text Files
Folder: local folder
File/Table: md_segmentation_3_targets_project_summary_closed.txt
Choose Save
Result
: A segmentation analysis on project based on turnover, profit and profit ratio is created and
saved.
Building the Classification/Regression Model for Order Backlog
From the home screen of SAP Predictive Analytics, select the
Modeler
section
Select
Create a Classification/Regression Model
In the
Select a Data Source
window,
Choose Use a File or a Database Table option
Data Type: Database
Folder: select
Browse
and connect to your SAP HANA instance using the <Domain User> logon
Data Set: select the
Browse
button to select the data set that will be used for predictive
modeling.
Data manipulations appear at the top of the list of options
Choose
DM_PROJECT_TRANSACTION_ACTIVE_BACKLOG
Choose
Next
to continue.
Enter Report Start Period & Report End Period prompt values to filter the data set i.e. 201203, 201412
After entering the value, choose
OK
to begin modeling
Choose
Analyze
and a description for the data set appears.
Choose
Next
when the data description accurately describes the data
The data set description was previously completed during the data manipulation steps. You will
not need to change anything in this window
Choose
Next
to
Selecting Variables
screen
