Data analytics in marketing, entrepreneurship, and innovation

Contributor(s):

Material type: Text

TextPublication details: CRC Press Boca Raton 2021Description: ix, 181 pISBN:

9781032605135

Subject(s):

DDC classification:

658.472 KEH

Summary: 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. (https://www.routledge.com/Data-Analytics-in-Marketing-Entrepreneurship-and-Innovation/Kehal-ElAlfy/p/book/9780367697648?srsltid=AfmBOoo5wqtRJXcO6BCk4H0p9BZnqcfKHEsBu_UtL3nt7vZXloI5bjuu)

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Item type	Current library	Collection	Call number	Copy number	Status	Date due	Barcode
Book	Indian Institute of Management LRC General Stacks	Marketing	658.472 KEH (Browse shelf(Opens below))	1	Available		006510

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Previous	658.45 COL Tom peters and management: a history of organizational storytelling	658.452 KLA Pitch anything: an innovative method for presenting, persuading, and winning the deal	658.46 MCM Never say sell: how the world's best expert consulting and professional services firms expand client relationships	658.472 KEH Data analytics in marketing, entrepreneurship, and innovation	658.5 LEM Product management in practice:	658.5 SUB Innovation analytics: tools for competitive advantage	658.500285 HOF Digital product management: frameworks - tools - cases	Next

Table of content:
1 Business Analytics: Through SIoT and SIoV

MOUNIR KEHAL

2 Innovation Analytics

EMAN ZABALAWI AND ALIA AL JAMMAL

3 Business Predictive Analytics: Tools and Technologies

DUSTIN WHITE

4 Hospitality Analytics: Use of Discrete Choice Analysis for Decision Support

PEDRO LONGART

5 Data Analytics in Marketing and Customer Analytics

RAJASEKHARA MOULY POTLURI AND GERRY N. MUUKA

6 Marketing Analytics

TABANI NDLOVU AND SIHLE NDLOVU

7 Big Data AnalyticsSUJNI PAUL

8 New Product Development and Entrepreneurship Analytics

KENNEDY PRINCE MODUGU

9 Predictive Learning Analytics in Higher Education

LAWAL O. YESUFU
[https://www.routledge.com/Data-Analytics-in-Marketing-Entrepreneurship-and-Innovation/Kehal-ElAlfy/p/book/9780367697648?srsltid=AfmBOoo5wqtRJXcO6BCk4H0p9BZnqcfKHEsBu_UtL3nt7vZXloI5bjuu]

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.

(https://www.routledge.com/Data-Analytics-in-Marketing-Entrepreneurship-and-Innovation/Kehal-ElAlfy/p/book/9780367697648?srsltid=AfmBOoo5wqtRJXcO6BCk4H0p9BZnqcfKHEsBu_UtL3nt7vZXloI5bjuu)

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