Getting Started with Business Analytics: Insightful Decision-Making
Assuming no prior knowledge or technical skills, Getting Started with Business Analytics: Insightful Decision-Making explores the contents, capabilities, and applications of business analytics. It bridges the worlds of business and statistics and describes business analytics from a non-commercial standpoint. The authors demystify the main concepts
1113750573
Getting Started with Business Analytics: Insightful Decision-Making
Assuming no prior knowledge or technical skills, Getting Started with Business Analytics: Insightful Decision-Making explores the contents, capabilities, and applications of business analytics. It bridges the worlds of business and statistics and describes business analytics from a non-commercial standpoint. The authors demystify the main concepts
77.99 In Stock
Getting Started with Business Analytics: Insightful Decision-Making

Getting Started with Business Analytics: Insightful Decision-Making

by David Roi Hardoon, Galit Shmueli
Getting Started with Business Analytics: Insightful Decision-Making

Getting Started with Business Analytics: Insightful Decision-Making

by David Roi Hardoon, Galit Shmueli

eBook

$77.99 

Available on Compatible NOOK devices, the free NOOK App and in My Digital Library.
WANT A NOOK?  Explore Now

Related collections and offers


Overview

Assuming no prior knowledge or technical skills, Getting Started with Business Analytics: Insightful Decision-Making explores the contents, capabilities, and applications of business analytics. It bridges the worlds of business and statistics and describes business analytics from a non-commercial standpoint. The authors demystify the main concepts

Product Details

ISBN-13: 9781498759670
Publisher: CRC Press
Publication date: 03/26/2013
Sold by: Barnes & Noble
Format: eBook
Pages: 190
File size: 2 MB

About the Author

David R. Hardoon is head of analytics at SAS Singapore, where he is responsible for the positioning of business analytics capabilities and solutions to customers across different business sectors. Dr. Hardoon is also an adjunct faculty member in the School of Information Systems at Singapore Management University and an honorary senior research associate in the Centre for Computational Statistics and Machine Learning at University College London. His research interests include developing and applying computational analytical models for business knowledge discovery and analysis in areas such as taxonomy, neuroscience, aerospace, and finance. He earned a PhD in computer science in the field of machine learning from the University of Southampton.

Galit Shmueli is a SRITNE chaired professor of data analytics and associate professor of statistics and information systems at the Indian School of Business. She is the author of 70 journal articles, references, textbooks, and book chapters in statistics, management, information systems, and marketing. Her research and teaching focus on statistical and data mining methods for contemporary data and applications in information systems and healthcare. She earned a PhD in statistics from the Israel Institute of Technology.

Table of Contents

Introduction to Business Analytics: The Paradigm Shift. The Business Analytics Cycle. Data Mining and Data Analytics: Data Mining in a Nutshell. From Data Mining to Data Analytics. Business Analytics: Customer Analytics. Social Analytics. Operational Analytics. Bibliography.

What People are Saying About This

From the Publisher

This book offers an introduction to the essence of business analytics, providing a good summary of the analytical solutions employed across these industries today, including an updated vocabulary on new domains such as social media. The reader will appreciate the difference between supervised and unsupervised learning, k-means clustering and regression tree classification. … Getting Started with Business Analytics will simplify, and demystify, the concepts around the "science of data." Looking back at my career in the field of business analytics, I realize that it would have been extremely helpful to have had such a book in hand. It would have provided me with guidance on structuring my analytical solutions and would have inspired me to greater creativity. I hope this book will light the spark of curiosity for a new generation of data scientists.
—Eric Sandosham, Managing Director and Regional Head of Decision Management at Citibank, Asia Pacific 2010–2012

From the B&N Reads Blog

Customer Reviews