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Shell Scripting  Online Training

Seibel Analytics


Siebel is a prominent vendor of interoperable e-business software. They also call themselves Siebel Systems. The company's customer relationship management (CRM), enterprise resource management (ERM), and partner relationship management (PRM) applications are designed to automate those aspects of business and allow an enterprise to perform and coordinate associated tasks over the Internet and through other channels, such as retail or call center networks. Siebel's customers include Chase Manhattan Bank, Deutsche Telecom, IBM, Lucent, Yahoo, and Microsoft.
  • Must have Logical Programming Skills and knowledge on Database Concepts.
  • It is a 20 days program and extends up to 2hrs each.
  • The format is 40% theory, 60% Hands-on.

  • It is a 5 days program and extends up to 8hrs each.
  • The format is 40% theory, 60% Hands-on.
    Private Classroom arranged on request and minimum attendies for batch is 4.
course content
  • 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
  • Answers
  • Dash boards
  • Delivers
  • Administration
  • 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
  • Security
  • Cache Management
  • Multi user Development Environment
  • Utilities.
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