![CTS FWR5-3105SFP-CW-AC-DR Series Скачать руководство пользователя страница 5](http://html1.mh-extra.com/html/cts/fwr5-3105sfp-cw-ac-dr-series/fwr5-3105sfp-cw-ac-dr-series_manual_2694010005.webp)
Now enter the
data source name
,
data source description
as
vhcalhdbdb
and
Server:Port
as
vhcalhdbdb:30015
Click
connect
Enter user id and password as
RDSPAUSER
and
master password
NOTE: Location of LUMs files on the instance
1. Once the instance is created and you have done a remote desktop, you get access to the files on the
remote desktop.
2. The Predictive Analytics LUMs files are stored in the D:\PA_Documents
3. Most of the LUMs files are already imported and you should find them when you launch
“Expert
Analytics” from the SAP Predictive Analytics software. If you happen to not find the LUMs file that you
are looking to open, please import them from the location specified in step 2.
4 PREDICITIVE SCENARIOS (FRONT-END COMPONENTS)
4.1 Banking
For the Banking industry, as part of the solution, we have a pre-built predictive model for one use case, the
customer attrition analysis. In this use case, we focus on analyzing the customer attrition trends using 2 different
approaches, identifying the customers like to leave
Using the Automated Analytics tool in Predictive Analytics
Using the Expert Analytics tool in Predictive Analytics
We have built a generic data structure and seeded sample data so that compelling predictive models could be
built. Most of the fields in the data structure are generic and which are used by many banking customers.
Customer Attrition Analysis
The following section describes configuration for the Customer Attrition Analysis scenario, which can be used
with either Automated Analytics or Expert Analytics. The generation and applying of this model will generate a
table in SAP HANA, which is then combined with
Profile
information and made visible via a database view in
SAP HANA. The data in this view can then be displayed using any tool that can read SAP HANA.
Note: Any SAP or non-SAP customer would be able to deploy or mimic the data structure, load the data and use
the pre-built models.
Automated Analytics (using the first approach)
Training the Model
Launch SAP Predictive Analytics
Choose the
Modeler
section
Select
Create a Classification/Regression Model
Select
Database
from
Select a Data Source
Select your SAP HANA instance
Logon to the <DOMAIN USER> account via the
Browse
button
Specify the
Data Set
that is used to
Train
your data model. The set is the table you populated with
your data: SAP_RDS_PA_BANK.CUST_ATTRITION