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Data Type: Data Base
Folder:
HANA ODBC connection
File/Table:
Attribute
Model
EQUIPMENT
SAP_RDS_PA_MFG.SII_MODEL_BREAKDOWN_EQUIPMENT
CLASS
SAP_RDS_PA_MFG.SII_MODEL_BREAKDOWN_CLASS
MANUFACTURER
SAP_RDS_PA_MFG.SII_MODEL_BREAKDOWN_MANUFACTURER
Result:
A maintenance breakdown time series forecasting analysis using HANA Live maintenance
breakdown reports data is saved to SAP HANA.
Maintenance Cost Analysis
In this use case, we focus on identifying the maintenance costs for assets based on historic data and trends.
Automated Analytics
Manipulating the Data
Launch SAP Predictive Analytics
Choose the
Data Manager
section
Select Create a Data Manipulation
You will need to create a separate data manipulation set for ACTIVITYTYPE, EQUIPMENT,
FUNCLOCATION, MANUFACTURER, ORDERTYPE, and PLANNERGROUP attributes.
In the Define New Data Manipulation window, select your SAP HANA instance and connect using the
<HANA Domain User> account via the
Browse
button
Now specify the data set that will serve as the base table for your data manipulation and time series
analysis. The database views with your HANA live maintenance cost data are:
Attribute
Data Source
ACTIVITYTYPE
SAP_RDS_PA_MFG.VW_MAINTCOST_ACTIVITYTYPE
EQUIPMENT
SAP_RDS_PA_MFG.VW_MAINTCOST_ACTIVITYTYPE
FUNCLOCATION
SAP_RDS_PA_MFG.VW_MAINTCOST_FUNCLOCATION
MANUFACTURER
SAP_RDS_PA_MFG.VW_MAINTCOST_MANUFACTURER
ORDERTYPE
SAP_RDS_PA_MFG.VW_MAINTCOST_ORDERTYPE
PLANNERGROUP
SAP_RDS_PA_MFG.VW_MAINTCOST_PLANNERGROUP
Choose
Next
to load the data set
In the Data Manipulation Editor Window, select ‘Main’ tab.
Select the
Prompts
tab. Add prompt using data set column from data source. Set ‘Default Value’ from
the data set as needed.