Select
Next.
Save the data manipulation to SAP HANA for use in predictive modeling
Attribute
Data Manipulation
EQUIPMENT
DM_MAINTBREAKDOWN_EQUIPMENT
CLASS
DM_MAINTBREAKDOWN_CLASS
MANUFACTURER
DM_MAINTBREAKDOWN_MANUFACTURER
Repeat these steps to create data manipulation for each attribute.
Result:
The Data Manipulation
is ready for use in predictive model development. Continue to the next
section for information on developing a predictive model.
Predicting
This section describes how to use the data manipulation created above to build a predictive model for
maintenance object breakdown forecasting based on maintenance history. Using maintenance object breakdown
reports, the model is created to forecast future breakdown frequencies.
From the home screen of SAP Predictive Analytics, select the
Modeler
section
Select
Create a Time Series Analysis
In the
Select a Data Source
window,
Choose
Browse
and connect to your SAP HANA instance using the <Domain User> logon
Then select the
Browse
button again to select the data set that will be used for predictive modeling.
Data manipulations appear at the top of the list of options
Attribute
Data Manipulation
EQUIPMENT
DM_MAINTBREAKDOWN_EQUIPMENT
CLASS
DM_MAINTBREAKDOWN_CLASS
MANUFACTURER
DM_MAINTBREAKDOWN_MANUFACTURER
Choose
Next
to continue.
Enter the attribute prompt value to filter the data set, for example, EQUIPMENT, CLASS,
MANUFACTURER
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
‘BREAKDOWNDATE’ column:
Order
= 1
, Key
= 1,
Type
= continuous.
Attribute
Fields
Key column
EQUIPMENT
EQUIPMENT, EQUIPMENTNAME
1
CLASS
CLASS, CLASSNAME
1
MANUFACTURER
ASSETMANUFACTURERNAME
1
