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Data Analytics in Marketing, Entrepreneurship, and Innovation

List Price: $72.99
SKU:
9780367697648
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  • Product Details

    Author:
    Mounir Kehal, Shahira El Alfy
    Format:
    Paperback
    Pages:
    192
    Publisher:
    CRC Press (September 25, 2023)
    Language:
    English
    ISBN-13:
    9780367697648
    Weight:
    23.375oz
    Dimensions:
    6.125" x 9.1875"
    File:
    TAYLORFRANCIS-TayFran_260513043736269-20260513.xml
    Folder:
    TAYLORFRANCIS
    List Price:
    $72.99
    Series:
    Data Analytics Applications
    As low as:
    $69.34
    Publisher Identifier:
    P-CRC
    Discount Code:
    H
    Audience:
    Professional and scholarly
    Country of Origin:
    United States
    Pub Discount:
    30
    Case Pack:
    30
    Imprint:
    Auerbach Publications
  • Overview

    Innovation based in data analytics is a contemporary approach to developing empirically supported advances that encourage entrepreneurial activity inspired by novel marketing inferences. Data Analytics in Marketing, Entrepreneurship, and Innovation covers techniques, processes, models, tools, and practices for creating business opportunities through data analytics. It features case studies that provide realistic examples of applications. This multifaceted examination of data analytics looks at:

    • Business analytics
    • Applying predictive analytics
    • Using discrete choice analysis for decision-making
    • Marketing and customer analytics
    • Developing new products
    • Technopreneurship
    • Disruptive versus incremental innovation

    The book gives researchers and practitioners insight into how data analytics is used in the areas of innovation, entrepreneurship, and marketing. Innovation analytics helps identify opportunities to develop new products and services, and improve existing methods of product manufacturing and service delivery. Entrepreneurial analytics facilitates the transformation of innovative ideas into strategy and helps entrepreneurs make critical decisions based on data-driven techniques. Marketing analytics is used in collecting, managing, assessing, and analyzing marketing data to predict trends, investigate customer preferences, and launch campaigns.