Data-driven decision making
Poulose, Jeanne.

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  • Data-driven decision making
  • Record Type: Electronic resources : Monograph/item
    Title/Author: Data-driven decision making/ edited by Jeanne Poulose, Vinod Sharma, Chandan Maheshkar.
    other author: Poulose, Jeanne.
    Published: Singapore :Springer Nature Singapore : : 2024.,
    Description: xxiv, 313 p. :ill. (some col.), digital ;24 cm.
    [NT 15003449]: Chapter 1: A Framework for Mining of Text Data with the Application of Side Information -- Chapter 2: Developing a framework for career in AI, ML and Data Science -- Chapter 3: Do You Have an AI Mindset? Development and Validation of AI Mindset Questionnaire -- Chapter 4: Data Mining and Business Intelligence Trends -- Chapter 5: Strategic Data Analytics for Sustainable Competitive Advantage -- Chapter 6: HR Analytics: An indispensable tool for effective Talent Management -- Chapter 7: Developing a system for the application of analytics in the process of determination of capability and maturity of Higher Educational institute for improving student outcomes -- Chapter 8: Measurement Model of Co-Po Attainment in Higher Education- A Simplified Approach -- Chapter 9: Generational Cohort Analysis to purchase Fashion Products in India -- Chapter 10: Changing the Role of Retailing using Pricing Analytics -- Chapter 11: Death of an Industry: An Exploratory View on Block Chain and Analytics making U.S. Mortgage Title insurance extinct -- CHAPTER 12: Impact of Cognitive Heuristic and Emotional Bias on Investment Decision of Individuals in Tamil Nadu -- CHAPTER 13: Application of Artificial Intelligence on Smart Tourism Eco Space - An Integrated Approach Post-Covid-19 Era -- Chapter 14: Will Societies Accept Cryptocurrency as a Medium of Exchange?.
    Contained By: Springer Nature eBook
    Subject: Decision making. -
    Online resource: https://doi.org/10.1007/978-981-97-2902-9
    ISBN: 9789819729029
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