Bookshelf v7.7: Introduction to Data Mining Deployment Guide

Introduction to Data Mining Deployment Guide

This guide serves two purposes:

It gives an overview of Siebel Data Mining products and acts as a prerequisite and installation reference for the following products:
- Siebel Data Mining Workbench
- Siebel Miner (including the Siebel Data Mining Engine)
- Siebel Intelligent Interaction Manager
  NOTE: For step-by-step instructions on installing Siebel Data Mining Workbench and Siebel Miner software, see the KnowledgeStudio User Guide and the Siebel Miner documentation in the Angoss folder on the Siebel eBusiness Third-Party Bookshelf.
It explains the various deployment options of predictive data mining models for batch and real-time scoring. Those sections detail the configuration steps necessary to use predictive models for both discovering knowledge and driving intelligent interactions at customer touchpoints.

This guide illustrates two options for installing and deploying Siebel Data Mining software:

Siebel Analytics Stand-Alone—Stand-alone configuration is for users of Siebel Analytics only. It is assumed that Analytics stand-alone users do not operate Siebel operational applications (such as Siebel Call Center).
Siebel Analytics Applications—This integrated configuration assumes that users operate Siebel Analytics with Siebel operational applications and will install the Siebel Data Warehouse. These users can use prebuilt subject areas for data mining to analyze batch scores and drive marketing segmentation, or use Intelligent Interaction Manager and the Siebel Data Mining Engine to build real-time scoring applications.

NOTE: The Siebel Data Warehouse is also referred to as the Siebel Relationship Management Warehouse.

This guide is primarily useful to people whose title or job description matches one of the following:


Database Marketers	Persons who build and use predictive data mining models.
Marketing Specialists	Persons who define and use applications driven by predictive model insights.
Siebel Application Developers	Persons who plan, implement, and configure Siebel applications driven by predictive model insights, possibly adding new functionality.
Siebel Application Administrators	Persons responsible for planning, setting up, and maintaining Siebel applications, possibly adding new functionality.

NOTE: Refer to the particular section of this document that applies to the particular option you have chosen. For example, Siebel Analytics Applications users preparing data for modeling with Siebel Miner would see Data Preparation for Siebel Analytics Applications and Siebel Miner Users in Setting Up a Modeling Environment with Siebel Data Mining.

This document assumes some familiarity with basic concepts of data mining and predictive modeling.

Data Mining Deployment Guide