Choose
Next
to continue.
Enter the attribute prompt value to filter the data set, for example ACTIVITYTYPE, EQUIPMENT,
FUNCLOCATION, MANUFACTURER, ORDERTYPE, PLANNERGROUP
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
Validate Key, Order and Value column definition
‘POSTINGDATE’ column:
Order
= 1
, Key
= 1,
Type
=
continuous.
Attribute
Fields
Key column
ACTIVITYTYPE
MAINTENANCEACTIVITYTYPE,
MAINTENANCEACTIVITYTYPENAME
1
EQUIPMENT
EQUIPMENT, EQUIPMENTNAME
1
FUNCLOCATION
FUNCTIONALLOCATION,
FUNCTIONALLOCATIONNAME
1
MANUFACTURER
ASSETMANUFACTURERNAME
1
ORDERTYPE
MAINTENANCEORDERTYPE,
MAINTENANCEORDERTYPENAME
1
PLANNERGROUP
MAINTENANCEPLANNERGROUP,
MAINTENANCEPLANNERGROUPNAME
1
In the
Selecting Variables
screen, set POSTINGDATE as the TIME variable and
PLNDMAINTCOSTINDISPLAYCRCY_E as the TARGET variable. Exclude the all other variables from
the analysis. You can keep the Predictive Analytics selected to
Last Training Date
or choose your
own.
Select
Next
Set
Number of Forecasts: to desired number of months that is, 12, for 12 monthly forecast
If desired, select
Advanced
button to set additional parameters.
Choose
Generate to build your time series analysis with SAP Predictive Analytics
In the
Using the Model
screen, select
Display
and review the resulting model by viewing
Model
Overview, View Forecast, View Signal Components,
Regressions:Contributions by Variables,
and
Statistical Reports
After reviewing the model results, choose
Save/Export
and select
Apply Model
In the
Applying the Model
screen,
Application Data Set
Data Type
: Data Base
Folder
: HANA ODBC connection
Data:
data manipulation
Attribute
Data Manipulation
ACTIVITYTYPE
DM_MAINTCOST_ACTIVITYTYPE
EQUIPMENT
DM_MAINTCOST_EQUIPMENT
