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


The material in this chapter truly gave you a lot of information to absorb. We hope that you will explore the additional resources in the Learn more sections to continue building on the foundations covered in the sections. You learned about visualizing data from a cognitive perspective and underlying principles to creating visuals that catch someone's attention and help them interpret the data. The variety of packages presented showed you how to generate geo-mapping and charting projects. The use cases provided you with examples that were not only interesting for users to look at, but also interactive to help engage them. These interactive graphics can later become elements of online web pages, applications, or even dashboards because JavaScript is a Web-ready technology.

In the final chapter of this book, you will learn how to create a classic product of business intelligence-the dashboard. It will focus on the use of R's web application framework, called Shiny, as a tool to impress...