Getting Started with Business Analytics
Insightful Decision-Making
1st Edition
Published on 26. March 2013
190 pages
978-1-4398-9654-9 (ISBN)
Description
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
Reviews / Votes
"... an excellent book introducing the essence of business analytics and providing a good summary of the analytical solutions employed across various industries and organizations. ... a solid, accessible overview. It bridges the worlds of business and statistics and describes business analytics from a noncommercial standpoint. It is highly worthy of consideration as supplementary teaching material for students who are taking courses related to business analytics or data mining. Looking back at my teaching career in the field of statistics and business analytics, I confess that it would have been very helpful to have had this kind of book in hand. ... a great guide and a must read for managers, executives, or consultants who want clarity with business analytics."-The American Statistician, February 2015
"... an interesting 'how to get started' book about a contemporary and challenging development in business. ... This timely, accessible book is relevant to students, managers, analysts, executives, consultants, and the general public. Recommended."
-E.J. Szewczak, CHOICE, August 2013
"A must read for college students and business managers interested in big data and analytics. The book beautifully integrates the business and technology aspects of analytics. It provides in-depth know-how to enable the reader to 'know' what and 'how' to effectively leverage analytics to deliver business solutions. If you want to get into business analytics, start your journey here!"
-Ram D. Gopal, Professor and Department Head, School of Business, University of Connecticut
"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
More details
Edition
1. Auflage
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
Professional and scholarly
Business analytics users; students in MBA courses; researchers in machine learning and statistical learning.
Illustrations
66 s/w Abbildungen, 2 s/w Tabellen
66 b/w images and 2 tables
File size
9,42 MB
ISBN-13
978-1-4398-9654-9 (9781439896549)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Book
03/2013
1st Edition
Chapman & Hall/CRC
€86.40
Shipment within 15-20 days
Persons
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.
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.
Content
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.
