Online Essentials of Business Intelligence Course

8-Week Course

8 Continuing Education Units

45 PDUs

80 Military Clock Hours

About the Course

This course serves as an introduction to the value and structure of the key concepts in enterprise business intelligence and the related field of business analytics. You will learn about Business Intelligence/Business Analytics Competency Centers (BICC or BACC) and study the core skills of data management, warehousing, business intelligence requirements, business intelligence program management and data quality management, while learning to make more effective and efficient business analytics decisions.

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Curriculum

8 Week Course

Week 1

Introduction to Business Intelligence

State what business intelligence is and what it is not
Apply BI to real-world marketplace examples
Describe the history and evolution of BI, from ledgers to databases to web-based reporting and beyond
Identify business intelligence industry trends, including its usage, its adoption, its market growth and the impact of technological developments on BI
Understand how business analytics applies BI results to the enterprise

Week 2

Organizing for BI

Distinguish between a business intelligence program and a business intelligence project
Explain Business Analytics Competency Center, Center of Excellence, and BI Competency Center and name critical success factors for effective use of these concepts
State the positives and negatives of enterprise and departmental BI solutions
Describe the definition of data governance, along with its components, impact and importance
Identify keys to planning for change, overcoming challenges and legacy sunsetting

Week 3

BI Development Phases, Methods, & Approaches

Identify key deliverables of the planning, design and deployment phases
Describe the different approaches to developing a BI solution and explain the advantages and disadvantages of each approach
Understand best practices for BI implementation from a management, planning and development lifecycle perspective

Week 4

Data Warehousing

Differentiate the data warehousing theories from Inmon to Kimball and describe the characteristics of each
Explain data modeling fundamentals in a data warehouse
Define the term metadata and identify the different types and benefits of metadata
Define Big Data and Big Data Analytics
Discuss Big Data analytics’ impacts on data warehousing and BI
Introduce Cloud-based BI and DW

Week 5

Data Quality and Architecture

Define the concept of data quality
Explain how the quality of the data affects the quality of the BI solutions
State various ways to improve the quality of different types of data
Define Master Data Management

Week 6

BI Requirements Gathering

Name the different ways requirements are captured
Explain the differences between top-down requirements gathering and bottom-up requirements gathering
Describe how to gather requirements using agile-based methods
Outline why BI works well with agile-based approaches to requirements management

Week 7

Readiness for BI and Maturity Models

Explain different readiness assessment methods
List the nine levels of technology readiness
Name the key facets of data readiness
Describe maturity models, including Gartner’s BI Maturity Model
Explain what the terms Business Analytics Competency Center (BACC) and BI Center of Excellence (CoE) mean and how they apply to enterprise BI

Week 8

Technology and Capability Review

Identify modern BI capability sets
Identify questions that should be asked when trying to choose between various types of BI implementations.
Identify questions that should be asked when trying to choose between various BI vendors
List the key selection criteria for choosing between various data warehouse/MDM implementation styles and vendors

Learning Objectives

Skills Learned

Change Management Communication Program Management Business Intelligence Data Modeling Technology

What You’ll Study

Introduction to Business Intelligence

History of Business Intelligence
Business Intelligence Business Value and ROI
Introduction to Data Warehousing
Business Intelligence Lifecycle and Architecture
Business Case for Business Intelligence

Organizing for Business Intelligence

Business Intelligence Program vs. Business Intelligence Project
Business Intelligence Sponsorship
Enterprise Level vs. Departmental Level Business Intelligence
BI Team Roles and Responsibilities
Business Analytics Competency Centers/Centers of Excellence
Data Governance and Change Management
Communication and Promoting Business Intelligence

BI Development Phases and Methods Approaches

The Major Phases of BI Program Delivery
The Waterfall Approach to BI Program Management
Agile Approaches to Business Intelligence Program Management
BI Planning Phase Best Practices
BI Implementation and Configuration Phase Best Practices
BI Deployment Phase Best Practices

Data Warehousing

Introduction and History of Data Warehousing
Inmom Approach
Kimball Approach
Data Modeling Basics
Metadata
Big Data and Big Data Analytics Cloud-based BI and Data Warehousing

Data Quality and Architecture

Data Quality Introduction
Measuring Data Quality
Poor Data Quality
Improving Data Quality
Disparate Data Sources
Data Governance
Master Data Management (MDM)

Business Intelligence Requirements Gathering

Requirements Gathering Introduction
Top-Down Requirements Gathering
Bottom-Up Requirements Gathering
Capture and Prioritize Requirements
Agile Requirements Gathering Best Practices
The Top 5 Categories of BI Requirements

Readiness for Business Intelligence and Maturity Models

Business Intelligence Readiness Assessments
Assessing Technology and Data
Organizational Readiness Assessments
Process and Procedures Readiness Assessments
BA Competency Center/Center of Excellence and Readiness
BI Maturity Models

Technology and Capability Review

Modern BI Capabilities
Selecting and Evaluating BI Technologies
Selecting and Evaluating Data Warehouse Technologies Selecting and Evaluating Master Data Management Technologies
BI Technology Disruptive Change
BI Visualization Tools

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Who Should Register?

If your business uses data to make business decisions, or if launching a business analytics program is on the corporate roadmap, this course is for you. From IT professionals working in or transitioning into BI program creation or data warehouse management, to members of upper management interested in learning more about business analytics, this course provides useful tools and skills. There is no prerequisite for IT/data analytics expertise or business management experience.

Tuition & Payment

Total Course Cost

$2,095

Enroll Now

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