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Business Analytics

A Management Approach

Author(s):
Publisher:

Red Globe Press

Pages: 444
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Sample chapter

Further Actions:

Recommend to library, View companion site

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Paperback - 9781352007251

09 October 2019

€57.76

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Ebook - 9781352007268

28 September 2019

€45.99

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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,...

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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.

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Written specifically for the needs of business students

Combines accessible theoretical coverage with hands-on practical experience

Includes coverage of business analysis software including SAS Visual Analytics, DataRobot and R

Includes up to date coverage of important contemporary topics, including social media analytics, design thinking and the ethics of using big data

Incorporates a range of learning features including exercises, cases, video and online resources to provide a springboard for further study and help student engagement

Helps students to develop analytic problem-solving skills

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.

Students using Business Analytics: A Management Approach have free access to the following resources to develop their data analytics skills:

  • Exercises
  • Useful links
  • Data sets
Access the companion website here: www.macmillanihe.com/vidgen-business-analytics

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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.

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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.

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