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 a marketing-campaign Shiny app

The book has developed examples of analysis projects for Bike Sharing LLC. Now you will extend one of these by building a second Shiny App. In Chapter 5, Data Mining with Cluster Analysis, you spent time researching targeted customer marketing segments to help the marketing group identify clusters of customers and drive more effective marketing campaigns. Imagine that marketing wants the ability to interact with the analysis and explore differing numbers of clusters. They would also like to generate lists of customers who fit a particular profile so that they can act on potential campaigns more quickly.


The following examples provide a sense of developing a more realistic and useful Shiny app. The code snippets do not generate a complete web app, but rather focus on the added core functionality.

We highly recommend that you use the complete code for the marketing campaign app by navigating to the Ch8-CampaignCreatorApp repository folder. Follow...