Advanced Learning in Business intelligence

BUSINESS INTELIGENCE LEARNING SCHEDULE & TOPICS Advanced Learning in BI (Instructor led classroom program) Course Outline

Module 1: Introduction to Business Intelligence Architecture

In this module, students will learn about key design principles that should be considered when scoping a BI solution, and about the components of the back end and front end of a BI solution, so that they can design and develop appropriate BI solutions for organizations.

Lessons

• Overview of Business Intelligence

• Overview of Business Intelligence Architecture

• Why Business Intelligence

• What is the benefit. Lab: Identifying Business Intelligence Solution Requirements

• Examining a BI Solution

• Documenting the BI Architecture After completing this module, students will be able to:

• Describe the purpose and nature of a business intelligence solution.

• Identify the main components of comprehensive business intelligence architecture.

Module 2: Overview of the Business Intelligence Project Lifecycle

This module examines the core processes and requirements to achieve a successful Business Intelligence project.

Lessons

• Planning a Business Intelligence Project

• Determining Business Intelligence Requirements

• Revising and Updating a Business Intelligence Project

• Making Data ready for Business Intelligence projects.

• Lab: Planning a Business Intelligence Project

• Identifying Requirements`

• Estimating Task Durations

• Right people for right BI processes.

After completing this module, students will be able to:

• Describe the major components of a business intelligence project lifecycle.

• Determine requirements for a business intelligence solution project.

• Revise and update a business intelligence project plan.

Module 3: Introduction to Business Intelligence Development

This module describes how to plan and manage the development process for a Business Intelligence project.

It discusses considerations for assembling the development team, managing the development process, testing, and deploying the solution.

Lessons

• Overview of Business Intelligence Development

• Managing Business Intelligence Development

• Determining Data Management Process

• WHAT,HOW,WHICH data to be undertaken

• Building backgrounds for data efficiency.

Lab: Developing a Business Intelligence Solution

• Identifying Team Requirements

• Determining Naming Standards

After completing this module, students will be able to:

• Determine Business Intelligence development requirements and implement a Business Intelligence development project.

• Manage a Business Intelligence development project.

• Determine effective data management processes.

Module 4: Designing Business Intelligence Infrastructure

This module describes how to identify infrastructure requirements for a Business Intelligence solution, and how to design an effective infrastructure to provide the required levels of scalability and availability.

Lessons

• Determining Infrastructure Requirements

• Planning for Scalability and Availability

Lab: Supporting Business Intelligence Infrastructure Growth

• Designing a BI Infrastructure

• Evaluating Software Requirements

After completing this module, students will be able to:

• Determine infrastructure requirements for a BI solution.

• Plan for scalability and availability.

• Understand Database availability

Module 5: Managing Business Intelligence Operations

This module explains how to manage and operate a Business Intelligence solution.

Lessons

• Overview of Business Intelligence Operations

• Managing Maintenance and Operations Tasks

• Managing Data Archiving

• Managing Business Intelligence Operations for Business Continuity Pre-requisites: Before attending this course, students must: (Starting Level Candidates)

• Have foundational conceptual theoretical readings on data warehousing, data marts, and Business Intelligence.

Students must be well-versed on the subjects of data warehousing, data marts, and BI, and preferably have read at least one book by Ralph Kimball or Bill Inmon.

• Have conceptual understanding of the components of SQL Server 2005. For example, the online analytical processing (OLAP), extract, transport,

• The candidate should have conceptual knowledge working on any database.

For Experienced Candidates: (Team leads/ Project manager/Business Analyst)

• Should have either worked on a Dataset or Worked on Business outputs on Analytics for any domain or should have good knowledge.

• Should have good presentation skills

• Should have good communication skills

• Good writing skills would be a plus

• Good command over language and understanding of the same.

The Above details in BI would be well supported by case studies, practical environment.

The Instructor will present and show his experiences with his preferred BI solution and show effectiveness of the outputs for the industry he/she has worked for.