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Autor(en): 
  • Sara Dolnicar
  • Friedrich Leisch
  • Bettina Grün
  • Market Segmentation Analysis: Understanding It, Doing It, and Making It Useful 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  Januar 2019  
    Genre:  Wirtschaft / Recht 
     
    B / Business and Management / Cluster analysis / Computational Statistics / Data Structure Analysis / Economics, finance, business & management / Management science / Market research
    ISBN:  9789811342486 
    EAN-Code: 
    9789811342486 
    Verlag:  Springer EN 
    Einband:  Kartoniert  
    Sprache:  English  
    Serie:  Management for Professionals  
    Dimensionen:  H 235 mm / B 155 mm / D  
    Gewicht:  718 gr 
    Seiten:  324 
    Illustration:  XXI, 324 p. 123 illus., 51 illus. in color., farbige Illustrationen, schwarz-weiss Illustrationen 
    Zus. Info:  EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025. 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    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 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 readersto replicate any aspect of what is being covered in the book using R, the open-source environment for statistical computing and graphics.

      



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