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Data Analytics in Marketing, Entrepreneurship, and Innovation
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Data Analytics in Marketing, Entrepreneurship, and Innovation

Book Details

Format Paperback / Softback
ISBN-10 0367697645
ISBN-13 9780367697648
Publisher Taylor & Francis Ltd
Imprint CRC Press
Country of Manufacture GB
Country of Publication GB
Publication Date Sep 25th, 2023
Print length 182 Pages
Weight 290 grams
Ksh 9,900.00
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Focusing on important aspects of analytics that facilitate innovation, promote entrepreneurship, and improve marketing efficiency and effectiveness, this book provides researchers and business practitioners insight on the techniques, tools, models, and cases of data analytics in the broad areas of innovation, entrepreneurship, and marketing.

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.


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