- 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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- Mindmajix Technologies
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- SIEBEL Analytics Functional Training
SIEBEL Analytics Functional Training
Understand the Siebel analytical functionalities that integrate purchasing and payables to enhance return on invested capital.
Online
Quick facts
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Medium of instructions
English
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Mode of learning
Self study, Virtual Classroom
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Mode of Delivery
Video and Text Based
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Frequency of Classes
Weekdays, Weekends
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Course overview
SIEBEL Analytics Functional Training online certification is offered by MindMajix Technologies Inc., an e-learning platform that offers users learning resources and accreditation to assist them to succeed in their professional careers. SIEBEL Analytics Functional Training online course is aimed at those who wish to gain an understanding of the key principles and techniques of Siebel analytics to develop the abilities needed to take on more responsible roles in their organizations and advance their careers.
SIEBEL Analytics Functional Training online classes by MindMajix Technologies are designed to educate students on the major aspects underlying a repository's physical layers, business model layer, and presentation layer, as well as modeling time series data and examining Siebel analytics user interfaces. Individuals will also learn about repository fundamentals, implementation techniques, gradually changing dimensions, header and detail data, extension tables, best practices, and many more.
The highlights
- Certificate of completion
- Certification oriented curriculum
- Lifetime self-paced video access
- Flexible schedule
- Project use cases
- 30 hours session
- 20 hours of labs
- Quizzes & Mocks
- Free demo on request
- One-on-one doubt resolution
- 100% money-back guarantee
- 24/7 lifetime assistance
Program offerings
- Certificate of completion
- Certification oriented curriculum
- Lifetime self-paced video access
- Flexible schedule
- Project use cases
- 30 hours session
- 20 hours of labs
- Quizzes & mocks
- Free demo on request
- One-on-one doubt resolution
Course and certificate fees
certificate availability
certificate providing authority
What you will learn
After completing the SIEBEL Analytics Functional Training certification course, individuals will have a broader understanding of the fundamental concepts of Siebel. Individuals will explore the Siebel analytical user interface and implementation approaches. Individuals will learn how to create a repository's physical layer, presentation layer, and business model layer, and how to test and evaluate repositories. Individuals will also learn about the extract, transform, and load concept of Siebel Analytics, as well as how to create dimensional hierarchy, level-based measurements, time-series data modeling, and add numerous sources and calculations to facts. Individuals will also learn about Data warehousing concepts and develop a better understanding of administration topics such as cash management, security, dashboard design principles, and more.