Name: Market Segmentation Analysis: Understanding it, Doing it, and Making it Useful (Management for Professionals) (en Inglés)
SKU: 51459672
Price: 57.87 USD
Availability: InStock
Author: Sara Dolnicar; Bettina Grün; Friedrich Leisch

portada Market Segmentation Analysis: Understanding it, Doing it, and Making it Useful (Management for Professionals) (en Inglés)

Market Segmentation Analysis: Understanding it, Doing it, and Making it Useful (Management for Professionals) (en Inglés)

Formato

Libro Físico

Editorial

Springer

Autor

Sara Dolnicar; Bettina Grün; Friedrich Leisch

Año

2018

Idioma

Inglés

N° páginas

324

Encuadernación

Tapa Dura

ISBN13

9789811088179

Categorías

Econometría

Market Segmentation Analysis: Understanding it, Doing it, and Making it Useful (Management for Professionals) (en Inglés)

Sara Dolnicar; Bettina Grün; Friedrich Leisch (Autor) · Springer · Tapa Dura

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Reseña del libro "Market Segmentation Analysis: Understanding it, Doing it, and Making it Useful (Management for Professionals) (en Inglés)"

This book is published open access under a CC BY 4.0 license.This open access book offers something for everyone working with market segmentation: practical guidance for users of market segmentation solutions; organisational guidance on implementation issues; guidance for market researchers in charge of collecting suitable data; and guidance for data analysts with respect to the technical and statistical aspects of market segmentation analysis. Even market segmentation experts will find something new, including an approach to exploring data structure and choosing a suitable number of market segments, and a vast array of useful visualisation techniques that make interpretation of market segments and selection of target segments easier. The book talks the reader through every single step, every single potential pitfall, and every single decision that needs to be made to ensure market segmentation analysis is conducted as well as possible. All calculations are accompanied not only with a detailed explanation, but also with R code that allows readers to replicate any aspect of what is being covered in the book using R, the open-source environment for statistical computing and graphics.