Data Analytics in Marketing, Entrepreneurship, and Innovation
eBook - ePub

Data Analytics in Marketing, Entrepreneurship, and Innovation

Mounir Kehal, Shahira El Alfy

  1. 182 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Data Analytics in Marketing, Entrepreneurship, and Innovation

Mounir Kehal, Shahira El Alfy

Book details
Table of contents
Citations

About This Book

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 opportunitiesto developnew products and services, and improveexisting 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.

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Information

Publisher
Auerbach Publications
Year
2021
ISBN
9780429589744
Edition
1
Topic
Computer Science
Subtopic
Data Mining
Index
Computer Science

Table of contents

  1. Cover
  2. Half Title
  3. Series Page
  4. Title Page
  5. Copyright Page
  6. Table of Contents
  7. Editors
  8. Contributors
  9. 1 Business Analytics: Through SIoT and SIoV
  10. 2 Innovation Analytics
  11. 3 Business Predictive Analytics: Tools and Technologies
  12. 4 Hospitality Analytics: Use of Discrete Choice Analysis for Decision Support
  13. 5 Data Analytics in Marketing and Customer Analytics
  14. 6 Marketing Analytics
  15. 7 Big Data Analytics
  16. 8 New Product Development and Entrepreneurship Analytics
  17. 9 Predictive Learning Analytics in Higher Education
  18. Index
Citation styles for Data Analytics in Marketing, Entrepreneurship, and Innovation

APA 6 Citation

[author missing]. (2021). Data Analytics in Marketing, Entrepreneurship, and Innovation (1st ed.). CRC Press. Retrieved from https://www.perlego.com/book/2096008/data-analytics-in-marketing-entrepreneurship-and-innovation-pdf (Original work published 2021)

Chicago Citation

[author missing]. (2021) 2021. Data Analytics in Marketing, Entrepreneurship, and Innovation. 1st ed. CRC Press. https://www.perlego.com/book/2096008/data-analytics-in-marketing-entrepreneurship-and-innovation-pdf.

Harvard Citation

[author missing] (2021) Data Analytics in Marketing, Entrepreneurship, and Innovation. 1st edn. CRC Press. Available at: https://www.perlego.com/book/2096008/data-analytics-in-marketing-entrepreneurship-and-innovation-pdf (Accessed: 25 September 2021).

MLA 7 Citation

[author missing]. Data Analytics in Marketing, Entrepreneurship, and Innovation. 1st ed. CRC Press, 2021. Web. 25 Sept. 2021.