Analytics and Data Science Advances in Research and Pedagogy 1st Edition by Amit V Deokar, Ashish Gupta, Lakshmi S Iyer, Mary C Jones ISBN 9783319580968 3319580965

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Product details:

ISBN 10:  3319580965

ISBN 13: 9783319580968

Author: Amit V. Deokar, Ashish Gupta, Lakshmi S. Iyer, Mary C. Jones

This book explores emerging research and pedagogy in analytics and data science that have become core to many businesses as they work to derive value from data. The chapters examine the role of analytics and data science to create, spread, develop and utilize analytics applications for practice. Selected chapters provide a good balance between discussing research advances and pedagogical tools in key topic areas in analytics and data science in a systematic manner. This book also focuses on several business applications of these emerging technologies in decision making, i.e., business analytics. The chapters in Analytics and Data Science: Advances in Research and Pedagogy are written by leading academics and practitioners that participated at the Business Analytics Congress 2015.

Applications of analytics and data science technologies in various domains are still evolving. For instance, the explosive growth in big data and social media analytics requiresexamination of the impact of these technologies and applications on business and society. As organizations in various sectors formulate their IT strategies and investments, it is imperative to understand how various analytics and data science approaches contribute to the improvements in organizational information processing and decision making. Recent advances in computational capacities coupled by improvements in areas such as data warehousing, big data, analytics, semantics, predictive and descriptive analytics, visualization, and real-time analytics have particularly strong implications on the growth of analytics and data science.

Table of contents: 

1. Exploring the analytics frontiers through research and pedagogy

2. Introduction: Research and research-in-progress

3. Business intelligence capabilities

4. Big data capabilities: An organizational information processing perspective

5. Business analytics capabilities and use: A value chain perspective

6. Critical value factors in business intelligence systems implementations

7. Business intelligence system use in Chinese organizations

8. The impact of customer reviews on product innovation: Empirical evidence in mobile apps

9. Whispering on social media

10. Does social media reflect metropolitan attractiveness? Behavioral information from Twitter activity in urban areas

11. The competitive landscape of mobile communications industry in Canada: Predictive analytic modeling with Google Trends and Twitter

12. Scale development using Twitter data: Applying contemporary natural language processing methods in IS research

13. Information privacy on online social networks: Illusion-in-progress in the age of big data?

14. Online information processing of scent-related words and implications for decision making

15. Say it right: IS prototype to enable evidence-based communication using big data

16. Introduction: Pedagogy in analytics and data science

17. Tools for academic business intelligence and analytics teaching: Results of an evaluation

18. Neural net tutorial

19. An examination of ERP learning outcomes: A text mining approach

20. Data science for all: A university-wide course in data literacy

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Tags: Amit V Deokar, Ashish Gupta, Lakshmi S Iyer, Mary C Jones, Analytics, Data Science, Research, Pedagogy