Siebel Analytics Course Content :

1.Introduction

• 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
• sing Repository Variable
• 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
• Answers
• Dash boards
• Delivers
• Administration
• Introduction ETL
• Data ware concepts
• Creating dimension Hierarchies
• 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
• Security
• Cache Management
• Multi user Development Environment
• Utilities