Book Image

Introduction to R for Business Intelligence

By : Jay Gendron
Book Image

Introduction to R for Business Intelligence

By: Jay Gendron

Overview of this book

Explore the world of Business Intelligence through the eyes of an analyst working in a successful and growing company. Learn R through use cases supporting different functions within that company. This book provides data-driven and analytically focused approaches to help you answer questions in operations, marketing, and finance. In Part 1, you will learn about extracting data from different sources, cleaning that data, and exploring its structure. In Part 2, you will explore predictive models and cluster analysis for Business Intelligence and analyze financial times series. Finally, in Part 3, you will learn to communicate results with sharp visualizations and interactive, web-based dashboards. After completing the use cases, you will be able to work with business data in the R programming environment and realize how data science helps make informed decisions and develops business strategy. Along the way, you will find helpful tips about R and Business Intelligence.
Table of Contents (19 chapters)
Introduction to R for Business Intelligence
About the Author
About the Reviewers
R Packages Used in the Book
R Code for Supporting Market Segment Business Case Calculations

About the Reviewers

Fabien Richard has a master’s degree in computer science engineering from Polytech Nantes, France. He is currently a software engineer and data specialist at a leading company for real-time telecom market data and consumer behavior analytics in North America. He applies business intelligence methods and parallel processing techniques to build fast, reliable, and scalable data processes. Since he started learning to code, Fabien has been driven by the pleasure of helping the sports and school communities around him through the development of web applications. His project about the energy consumption of the Internet won the first prize in the Hyblab data journalism competition in 2014. Fabien is also interested in business management, and more specifically how to leverage data to drive business decisions and create monetizable knowledge.

Jeffrey Strickland, Ph.D., is the author of Data Analytics using Open-Source Tools, and a Senior Analytics Scientist with Clarity Solution Group. He has performed predictive modeling, simulation, and analysis for the Department of Defense, NASA, the Missile Defense Agency, and the Financial and Insurance Industries for over 20 years. Jeffrey is a Certified Modeling and Simulation Professional (CMSP) and an Associate Systems Engineering Professional (ASEP). He has published nearly 200 blogs on LinkedIn, is also a frequently invited guest speaker and the author of 20 books including:

  • Operations Research using OpenSource Tools

  • Discrete Event Simulation Using ExtendSim 8

  • Introduction to Crime Analysis and Mapping

  • Missile Flight Simulation

  • Mathematical Modeling of Warfare and Combat Phenomenon

  • Predictive Modeling and Analytics

  • Using Math to Defeat the Enemy: Combat Modeling for Simulation

  • Verification and Validation for Modeling and Simulation

  • Simulation Conceptual Modeling

  • Systems Engineering Processes and Practice

Connect with Jeffrey Strickland at