Business Analytics: A Management Approach

by Richard Vidgen, Sam Kirshner, Felix Tan

Overview

This exciting new textbook offers an accessible, business-focused overview of the key theoretical concepts underpinning modern data analytics. It provides engaging and practical advice on using the key software tools, including SAS Visual Analytics, R and DataRobot, that are used in organisations to help make effective data-driven decisions. Combining theory with hands-on practical examples, this essential text includes cutting edge coverage of new areas of interest including social media analytics, design thinking and the ethical implications of using big data. A wealth of learning features including exercises, cases, online resources and data sets help students to develop analytic problem-solving skills.

With its management perspective on analytics and its coverage of a range of popular software tools, this is an ideal essential text for upper-level undergraduate, postgraduate and MBA students. It is also ideal for practitioners wanting to understand the broader organisational context of big data analysis and to engage critically with the tools and techniques of business analytics.

Accompanying online resources for this title can be found at bloomsburyonlineresources.com/business-analytics. These resources are designed to support teaching and learning when using this textbook and are available at no extra cost.

Product Details

ISBN-13:	9781350304772
Publisher:	Bloomsbury Publishing
Publication date:	09/28/2019
Sold by:	Barnes & Noble
Format:	eBook
Pages:	430
File size:	29 MB
Note:	This product may take a few minutes to download.

About the Author

RICHARD VIDGEN is Professor of Business Analytics at the University of New South Wales Business School, Australia and Emeritus Professor of Systems Thinking at the University of Hull, UK.

SAM KIRSHNER is a Senior Lecturer in Operations Management and Business Analytics at the University of New South Wales Business School, Australia.

FELIX TAN is a Senior Lecturer in Information Systems at the University of New South Wales Business School, Australia.
Richard Vidgen is Professor of Business Analytics at the University of New South Wales Business School, Australia, and Emeritus Professor of Systems Thinking at the University of Hull, UK.
Sam Kirshner is a Senior Lecturer in Operations Management and Business Analytics at the University of New South Wales Business School, Australia.
Felix Tan is a Senior Lecturer in Information Systems at the University of New South Wales Business School, Australia.

Table of Contents

Introduction
Business Analytics Development
Data and Information
Data Exploration
Clustering and Segmentation
Multiple Linear Regression
Classification and Regression Trees (CART)
Visualization and Communication
Automated Machine Learning
R
Working with Unstructured Data
Social Networks
Business Analytics Methodology
Design and Agile Thinking
Ethical Aspects
Appendix A: Dataset Descriptions
Appendix B: GoGet Case Study
Appendix C: Business Analytics Capability Assessment (BACA) Survey.

What People are Saying About This

From the Publisher

Yes, this is a book on business analytics - but it's really much broader. It encompasses up-to-the-minute topics like analysis of social media data, automated machine learning, visual analytics, open source tools, agile methods, and ethical issues like algorithmic bias. It's a complete and accurate guide to how analytics are currently practised in leading organizations. – Thomas H. Davenport, Babson College, USA.

Provides an impressive overview of business analytics approaches to support a data-driven organisation, and runs the full gamut from understanding and analyzing big data, to designing the right business model for strategising and organising a leadership that drives analytics value creation. – Leroy White, Warwick Business School, UK

In an age where information matters for business survival, companies need to understand and appreciate the value derived from data. Business Analytics provides a toolkit for the practitioner to unlock said value. I would highly recommend it to executives and students who are thinking about or already on the analytics journey. – Yudhvir Seetharam, University of the Witwatersrand, South Africa.

This is a great book for introducing MBA students into the area of business analytics with up-to-date information, a comprehensive coverage of topics and clear explanations for the non-specialist. It reflects a careful approach to use analytics for creating value in business. – Martin Kunc, Southampton Business School, UK.

Editorial Reviews

Yes, this is a book on business analytics - but it's really much broader. It encompasses up-to-the-minute topics like analysis of social media data, automated machine learning, visual analytics, open source tools, agile methods, and ethical issues like algorithmic bias. It's a complete and accurate guide to how analytics are currently practised in leading organizations.” —Thomas H. Davenport, Babson College, USA

“Provides an impressive overview of business analytics approaches to support a data-driven organisation, and runs the full gamut from understanding and analyzing big data, to designing the right business model for strategising and organising a leadership that drives analytics value creation.” —Leroy White, Warwick Business School, UK

“In an age where information matters for business survival, companies need to understand and appreciate the value derived from data. Business Analytics provides a toolkit for the practitioner to unlock said value. I would highly recommend it to executives and students who are thinking about or already on the analytics journey.” —Yudhvir Seetharam, University of the Witwatersrand, South Africa

“This is a great book for introducing MBA students into the area of business analytics with up-to-date information, a comprehensive coverage of topics and clear explanations for the non-specialist. It reflects a careful approach to use analytics for creating value in business.” —Martin Kunc, Southampton Business School, UK

From the Publisher