Welcome to the home of the textbook, ‘Business Analytics: a management approach’. See chapter headings below.
To order a hard copy or an e-copy of the book go to the Bloomsbury site (also available from VitalSource, AmazonUK, AmazonUS, and AmazonAus).
If you want instructor specific resources go to the companion site. Otherwise, browse the resources page (e.g., datasets for the book) and explore our blog page for latest updates and news.
‘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, Distinguished Professor, Babson College, USA; Research Fellow, MIT, USA; Senior Advisor, Deloitte, Author of Competing on Analytics and The AI Advantage
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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
Business Analytics: a management approach 