Data analytics in marketing, entrepreneurship, and innovation

著者

    • Kehal, Mounir
    • El Alfy, Shahira

書誌事項

Data analytics in marketing, entrepreneurship, and innovation

edited by Mounir Kehal and Shahira El Alfy

(Data analytics applications)(An Auerbach book)

CRC Press, 2021

1st ed

  • : hbk

大学図書館所蔵 件 / 2

この図書・雑誌をさがす

注記

Includes bibliographical references and index

内容説明・目次

内容説明

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.

目次

1 Business Analytics: Through SIoT and SIoV. 2 Innovation Analytics. 3 Business Predictive Analytics: Tools and Technologies. 4 Hospitality Analytics: Use of Discrete Choice Analysis for Decision Support. 5 Data Analytics in Marketing and Customer Analytics. 6 Marketing Analytics. 7 Big Data Analytics. 8 New Product Development and Entrepreneurship Analytics. 9 Predictive Learning Analytics in Higher Education.

「Nielsen BookData」 より

関連文献: 2件中  1-2を表示

詳細情報

ページトップへ