Essentials of Business Intelligence

Villanova University

How long?

  • online
  • on demand

What are the topics?

Villanova University

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Business Analytics courses will introduce you to a popular and diverse profession. A business analyst is a specialist in many IT fields as well as in ...

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Who should attend

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 the tools and skills you need. There is no prerequisite for IT/data analytics expertise or business management experience.

About the course

This 100% online certificate 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’ll learn the differences between BACC and BICC 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.

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

Curriculum

8 Week Course

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

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

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

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

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

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

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

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

Essentials of Business Intelligence at Villanova University

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Disclaimer

Coursalytics is an independent platform to find, compare, and book executive courses. Coursalytics is not endorsed by, sponsored by, or otherwise affiliated with any business school or university.

Full disclaimer.

Read more about Business Analytics

What will you learn from Business Analytics courses? First of all, you will learn about the profession of a business analyst, his duties, and what such a specialist does. You will get various soft skills, such as organizing teamwork, for example, acc...

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