How to Seamlessly Import SAP SuccessFactors Data into IBM SPSS Modeler

IBM SPSS Modeler is a powerful data mining and predictive analytics platform that enables organizations to extract valuable insights from their data. By connecting SAP SuccessFactors data data to SPSS Modeler via the CData ODBC Driver for SAP SuccessFactors, you can leverage real-time access for advanced data mining, predictive modeling, and statistical analysis.

This guide takes you through the steps of connecting IBM SPSS Modeler to SAP SuccessFactors data, enabling seamless data import, preparation, and analysis. With the CData ODBC Driver for SAP SuccessFactors, you can unlock the full potential of your SAP SuccessFactors data data within IBM SPSS Modeler for actionable insights.

Overview

Here is an overview of the steps:

1. CONFIGURE THE ODBC DRIVER: Set up a connection to SAP SuccessFactors data in the CData ODBC Driver for SAP SuccessFactors by entering the required connection properties.
2. SET UP ODBC CONNECTION IN SPSS MODELER: Establish the ODBC connection within IBM SPSS Modeler by selecting the configured DSN.
3. IMPORT AND PROCESS DATA: Import the SAP SuccessFactors data data into SPSS Modeler, then review, filter, transform, and prepare the data for predictive analytics and statistical modeling.

Configure the SAP SuccessFactors DSN Using the CData ODBC Driver

To start, configure the DSN (Data Source Name) for SAP SuccessFactors data in your system using the CData ODBC Driver. Download and install a 30-day free trial with all the features from here.

Once installed, launch the ODBC Data Source Administrator:

• On Windows: Search for ODBC Data Source Administrator in the Start menu and open the application.
• On Mac: Open Applications, go to Utilities, and select ODBC Manager.
• On Linux: Use the command line to launch ODBC Data Source Administrator or use unixODBC if installed.

👁 ODBC Data Source Administrator

Once launched, double-click on the CData SAP SuccessFactors data Source and enter the required values to establish a connection:

You can authenticate to SAP Success Factors using Basic authentication or OAuth with SAML assertion.

Basic Authentication

You must provide values for the following properties to successfully authenticate to SAP Success Factors. Note that the provider will reuse the session opened by SAP Success Factors using cookies. Which means that your credentials will be used only on the first request to open the session. After that, cookies returned from SAP Success Factors will be used for authentication.

• Url: set this to the URL of the server hosting Success Factors. Some of the servers are listed in the SAP support documentation (external link).
• User: set this to the username of your account.
• Password: set this to the password of your account.
• CompanyId: set this to the unique identifier of your company.

OAuth Authentication

You must provide values for the following properties, which will be used to get the access token.

• Url: set this to the URL of the server hosting Success Factors. Some of the servers are listed in the SAP support documentation (external link).
• User: set this to the username of your account.
• CompanyId: set this to the unique identifier of your company.
• OAuthClientId: set this to the API Key that was generated in API Center.
• OAuthClientSecret: the X.509 private key used to sign SAML assertion. The private key can be found in the certificate you downloaded in Registering your OAuth Client Application.
• InitiateOAuth: set this to GETANDREFRESH.

👁 Configuring ODBC DSN (Salesforce is shown)

Setup an ODBC Connection in IBM SPSS Modeler

After configuring the DSN, it's time to connect to it in IBM SPSS Modeler:

• Launch IBM SPSS Modeler, log in, and create a new stream.
👁 IBM SPSS Modeler Home screen

• From the Sources palette, locate the Database node, and drag it onto the canvas.
👁 IBM SPSS Modeler Canvas

• Double-click the Database node to open the configuration dialog. Select
• In the Database dialog, browse to select the table(s) you’d like to import, preview the data, and click OK to finalize.
👁 IBM SPSS Modeler Database Connections (Salesforce is shown)

You are now ready to process and analyze the SAP SuccessFactors data data in IBM SPSS Modeler.

Process Data: Filter, Categories, and Model

Once the tables are imported, you can refine, filter, categorize, and model your SAP SuccessFactors data data in SPSS Modeler:

• Filtering: Double-click your Database connection, go to the Filter section, and select/deselect fields to focus on relevant data. This improves processing speed and model accuracy.
👁 IBM SPSS Modeler Data Filtering (Salesforce is shown)

• Set Data Types and Roles: Categorize your fields and assign roles to each data type by navigating to the Types section.
👁 IBM SPSS Modeler Data Types Categorization (Salesforce is shown)

• Perform a Basic Analysis: Drag and drop the Analysis node next to your Database node, connect them, and click the Play button to run the stream and analyze the data.

You have now performed a simple analysis, enabling SPSS Modeler to process and display insights from your database.

Unlock the Potential of Your SAP SuccessFactors Data with CData

With the CData ODBC Driver for SAP SuccessFactors, connecting SAP SuccessFactors data data to IBM SPSS Modeler is seamless. Start your free trial today and unlock the full potential of your real-time data for advanced analytics and decision-making.