Dominique Haughton, Jonathan Haughton, Victor S. Y. Lo

Cause and Effect Business Analytics

For Big and Small Data

• Gebundenes Buch

Produktbeschreibung

Business analytics is the application of statistical and quantitative analysis, as well as formal modeling, to decision making. 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. The book is rooted in realistic and important cases used to illustrate the importance of thinking clearly about causality and applying the techniques of business analytics.

Produktdetails

• Verlag: Apple Academic Press Inc.
• Seitenzahl: 300
• Erscheinungstermin: 14. Dezember 2024
• Englisch
• Abmessung: 234mm x 156mm
• ISBN-13: 9781482216479
• ISBN-10: 1482216477
• Artikelnr.: 59990729

Autorenporträt

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.

Inhaltsangabe

Introduction to causal business analytics. Review of common
statistical/econometric and data mining techniques. Causal inference I.
Causal inference II. Uplift (aka True-lift) analytics I. Uplift analytics
II. Treatment optimization. Uplift analytics for non-random experiments.
Causal analytics in time series I. Causal analytics in time series II.
Structural Equation Modeling (SEM). Discussion and Summary.