Hyderabad
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    SIEBEL ANALYTICS FUNCTIONAL ONLINE TRAINING

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    Ameerpet
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    Description for "SIEBEL ANALYTICS FUNCTIONAL ONLINE TRAINING"

    For more details Please contact LEARNCHASE
    www.learnchase.com
    Whatsapp: +918123930940
    E-mail Id: [email protected]
    E-mail id: [email protected]

    SIEBEL ANALYTICS FUNCTIONAL ONLINE TRAINING

    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 OVERVIEW

    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

    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

    For more details Please contact LEARNCHASE
    www.learnchase.com
    Whatsapp: +918123930940
    E-mail Id: [email protected]
    E-mail id: [email protected]

     

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