SIEBEL Analytics Functional Training makes a point on how to measure and evaluate business performance across customers. We provide the well-structured SIEBEL course content in an easy and understandable way.

Siebel Analytics is an enterprise to measure and evaluate business performance across customers. Siebel Analytics means a branch of Siebel dealing with Analysis, it helps in analyzing past, present and future opportunities with the help of Dashboard Reports to determine actions required to meet the sales targets. Siebel Analytics Functional Training has always been transactional application and it is very difficult to do analysis of data that is residing in Siebel.


Siebel Analytics Functional training provides Repository Basics by testing and validating them. Learn to Build the Physical Layers, Business Model Layer and Presentation Layer of a repository. Further, take a note on Modeling Time series data, Slowly changing dimensions, Header and detail data, Extension tables and its leading practices.

Siebel Analytics Functional Training Curriculum
Siebel Analytics Overview

Exploring Siebel analytics User Interfaces

Repository Basics

Implementation Methodology

Building the Physical Layers of Repository

Building the Business Model Layer of a repository

Building the Presentation Layer of a repository

Testing and Validating a Repository

Adding Multiple Sources to a dimension

Adding calculations to a fact

Creating Dimensional Hierarchies and Level-Based Measures

Using Aggregates

Using Partitions of fragments

Using Repository Variables

Modeling Time series Data

Modeling Slowly Changing dimensions

Modeling Header and detail Data

Prototyping and Non-Dimensional data

Modeling Extension tables

Modeling leading practices

Analytics Security

Cache Management


Dash boards



Introduction ETL

Data ware concepts

Creating dimension Hierarchies

Adding Multiple Sources

Customizing User Interface

Adding calculation to facts

Configuring guided Navigation Links

Administering BI Web Catalog

Using Aggregates

Using Delivers

Using partitions Fragments

Using briefing books

Using Repository Variable

Dash board design Principles best Practices

Modeling time series Data


Cache Management

Multi user Development Environment


  • 10 Days
  • 0 Units
  • 0 Hrs

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