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

Finding and fixing flawed data

The summarize step revealed some possible flaws in the data. Mind you, the bike sharing data is in good shape compared to many datasets that you will encounter as a business analyst. Your next step in the SFCA approach is to fix any flaws that could impact your analysis. First, you have to find the flaws before you can fix them.

Finding flaws in datasets

There is no single best way to find flaws in data. This activity requires art mixed with some computational methods. The approach presented in this section shares some methods, but they only represent a few of the many possible ways of finding flawed data.


R tip: Keep an open mind and strive to become a lifelong learner of business analytics. The methods change and adapt continually. The best business analysts have a skillset that goes beyond great coding. Throughout this book, the authors will share their favorite picks from videos, blogs, and books relevant to the chapters.

One tip for business analysts is...