In the
Selecting Variables
screen, set BREAKDOWNDATE as the TIME variable and
NMBROFACTUALMAINTOBJECTBRKDWNS 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, for example
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,
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
EQUIPMENT
DM_MAINTBREAKDOWN_EQUIPMENT
CLASS
DM_MAINTBREAKDOWN_CLASS
MANUFACTURER
DM_MAINTBREAKDOWN_MANUFACTURER
Generation Options
Generate:
choose ‘Only First Forecast Column and the Error Bars’
Results Generated by the Model
Data Type: Database
Folder:
HANA ODBC connection
Data:
Attribute
Model Results
EQUIPMENT
SAP_RDS_PA_MFG.SII_RESULTS_BREAKDOWN_EQUIPMENT
CLASS
SAP_RDS_PA_MFG.SII_RESULTS_BREAKDOWN_CLASS
MANUFACTURER
SAP_RDS_PA_MFG.SII_RESULTS_BREAKDOWN_MANUFACTURER
Select
Apply
After reviewing model results, save this model to the SAP HANA schema SAP_RDS_PA_MFG
Saving the Model
Model Name: default
Description:
description of model
