Cause and Effect Business Analytics and Data Science

This book examines under what circumstances, and with which techniques, one can reasonably infer cause and effect in a business setting, and use the insight to drive business decisions. It is written at a level accessible to anyone with a master's degree in analytics, business, economics, statistics, computer science, or a related field.

Table des matières

1. Introduction to Cause-and-Effect Business Analytics 2. Review of common data mining techniques 3. Causality 4. Causality: Synthetic Control, Regression Discontinuity, and Instrumental Variables 5. Directed Acyclic Graphs 6. Uplift Analytics I: Mining for the Truly Responsive Customers and Prospects 7. Test and Learn for Uplift 8. Uplift Analytics III: Model-Driven Decision-Making and Treatment Optimization Using Prescriptive Analytics 9. Uplift Analytics IV: Advanced Modeling Techniques for Randomized and Non-Randomized Experiments 10. Causality in Times Series Data 11. Structural Equation Models 12. Discussion and Summary

A propos de l'auteur

Dominique Haughton is affiliated with the Department of Mathematical Sciences, Bentley University, Waltham, Massachusetts.

Jonathan Haughton is affiliated with the Department of Economics, Suffolk University, Boston, Massachusetts.

Victor S.Y. Lo is affiliated with the Valente Center for Arts and Sciences, Bentley University, Waltham, Massachusetts, and also with a major financial institution in Massachusetts.

Résumé

This book examines under what circumstances, and with which techniques, one can reasonably infer cause and effect in a business setting, and use the insight to drive business decisions. It is written at a level accessible to anyone with a master’s degree in analytics, business, economics, statistics, computer science, or a related field.

Détails du produit

• Auteurs: Dominique Haughton, Dominique (Bentley University Haughton, Dominique (Bentley University) Haughton Haughton, Jonathan Haughton, Haughton Dominique, Haughton Jonathan, Victor S. Y. Lo, Lo Victor S. Y.
• Edition: Taylor & Francis Ltd.
• Langues: Anglais
• Format d'édition: Livre Relié
• Sortie: 15.07.2025
• EAN: 9781482216479
• ISBN: 978-1-4822-1647-9
• Pages: 350
• Thèmes: Chapman & Hall/CRC Computer Science & Data Analysis; Chapman and Hall/CRC Series on Statistics in Business and Economics
• Catégories: Sciences sociales, droit, économie > Economie > Autres; Business and Management, BUSINESS & ECONOMICS / Econometrics, Business & management, Economic statistics, Econometrics, Databases, Econometrics and economic statistics, COMPUTERS / Database Administration & Management, Causal Inference;Econometrics;Data Mining