SIEBEL Analytics Functional Course Overview

Mindmajix SIEBEL Analytics Functional Training enriches students in major concepts behind Physical Layers, Business Model Layer and Presentation Layer of a repository and Modeling Time series data, Exploring Siebel analytics User Interfaces. Repository Basics, Implementation Methodology, Slowly changing dimensions, Header and detail data, Extension tables and its leading practices...etc.

SIEBEL Analytics Functional Online Training Content

You will be exposed to the complete SIEBEL Analytics Functional Trainingcourse details in the below sections.

Siebel Analytics Functional Training 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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Hands on SIEBEL Analytics Functional Training Projects

To test your knowledge on SIEBEL Analytics Functional Training, you will be required to work on two industry-based projects that discuss significant real-time use cases. This will also ensure hands-on expertise in SIEBEL Analytics Functional Training and Certification Course concepts

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    Avg. Salary for SIEBEL Analytics Functional Developer: $99,951 pa.

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    1. Siebel Analytics Functional Training Course Content



    Live Virtual Training

    • Live demonstration of features and practicals.
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    • Instructor led training with practical lab sessions.
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    Includes everything in Self-paced training

    Live Training
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    Upcoming Batches

    Duration: 30 hrs

    Batch

    Start - End

    Time

    Weekend

    Jun 26 - Jul 11

    07:30 PM EST

    Weekdays

    Jun 30 - Jul 15

    07:30 PM EST

    Weekend

    Jul 03 - Jul 18

    07:30 PM EST

    Weekdays

    Jul 07 - Jul 22

    07:30 PM EST


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    • Gain industry insights during the training delivered by insdustry experts
    • Customize the course scope as per your project requirements
    • Gain complete guidance on obtaining a certification

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    SIEBEL Analytics Functional Course Reviews

    characterSIEBEL Analytics Functional training is really awesome, I knew nothing about it before joining the course in Mindmajix. But now i have got the confidence that i can crack interview answering any type of questions shooted on SIEBEL Analytics Functional...thanks Mindmajix

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    SIEBEL Analytics Functional Course Online FAQ's

    Do I get any discount on the course?

    Yes, you get two kinds of discounts. They are group discount and referral discount. Group discount is offered when you join as a group, and referral discount is offered when you are referred from someone who has already enrolled in our training.

    Do Mindmajix accepts the course fees in installments?

    Yes, we accept payments in two installments.

    How Mindmajix’s Refund Policy works?

    If you are enrolled in classes and/or have paid fees, but want to cancel the registration for certain reason, it can be attained within first 2 sessions of the training. Please make a note that refunds will be processed within 30 days of prior request.

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