Introduction to R for Business Intelligence

Profit optimization using data mining, data analysis, and Business Intelligence

Publisher:Packt Publishing Limited

Paid access

|Jul 2025

E-Book €22.99Institutions €119.95

Description

Learn how to leverage the power of R for Business Intelligence

Key Features

Use this easy-to-follow guide to leverage the power of R analytics and make your business data more insightful.
This highly practical guide teaches you how to develop dashboards that help you make informed decisions using R.
Learn the A to Z of working with data for Business Intelligence with the help of this comprehensive guide.

Book Description

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.

What you will learn

Extract, clean, and transform data
Validate the quality of the data and variables in datasets
Learn exploratory data analysis
Build regression models
Implement popular data-mining algorithms
Visualize results using popular graphs
Publish the results as a dashboard through Interactive Web Application frameworks

Who this book is for

This book is for data analysts, business analysts, data science professionals or anyone who wants to learn analytic approaches to business problems. Basic familiarity with R is expected.