Business Analytics A Management Approach 1st edition by Richard Vidgen, Samuel Kirshner, Felix Tan ISBN 1352007266 9781352007268

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Product details:

ISBN 10: 1352007266
ISBN 13: 9781352007268
Author: Richard Vidgen, Samuel Kirshner, Felix Tan

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.

Business Analytics A Management Approach 1st Table of contents:

Part I Business Analytics in Context

1. Introduction

2. Business Analytics Development

3. Data and Information

Part II Tools and Techniques

4. Data Exploration

5. Clustering and Segmentation

6. Predictive Modelling with Regression

7. Predictive Modelling with Logistic Regression

8. Predictive Modelling with Classification and Regression Trees

9. Visualization and Communication

10. Automated Machine Learning

11. R

12. Working with Unstructured Data

13. Social Networks

Part III: Organizational aspects

14. Business Analytics Development Methodology

15. Design and Agile Thinking

16. Ethical Aspects of Business Analytics

Appendices:

Appendix A – Dataset Descriptions

Appendix B – GoGet Case Study

Appendix C – Business Analytics Capability Assessment (BACA) Survey

Index

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Tags: Richard Vidgen, Samuel Kirshner, Felix Tan, Business Analytics, Management Approach