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

Creating interactive graphics using rCharts

The R implementation of the Leaflet JavaScript library is just one of many JavaScript visualization libraries translated into R. The popularity of JavaScript charting frameworks has risen because major media outlets and blogging sites have started focusing the content around awe-inspiring graphics. As these graphics enter mainstream media, this poses a question you should consider: How can I visualize my own data in new and different ways that are more appropriate for the questions I am trying to answer?


Use case: Communicating E-mail Campaign Success As you can imagine, marketing the Bike Sharing brand means getting the word out about the business. E-mail marketing campaigns can encourage individuals to sign up for memberships through the Bike Sharing website. The marketing team has tried an A/B testing strategy of the following two types of promotional e-mail offers:

  • Getting 10% off a yearly membership

  • Giving the first month free

They would...