Cause and Effect Business Analytics

For Big and Small Data

Erstverkaufstag: 14.12.2024

75,94 €*

Alle Preise inkl. MwSt.|Versandkostenfrei
ISBN-13:
9781482216479
Veröffentl:
2024
Erscheinungsdatum:
14.12.2024
Seiten:
300
Autor:
Dominique Haughton
Format:
234x156x0 mm
Sprache:
Deutsch
Beschreibung:

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.
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.

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