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Data analytics and business intelligence : computational frameworks, practices, and applications / [edited by] Vincent Charles, Programme Director for MSc Applied Artificial Intelligence and Data Analytics School of Management, University of Bradford, Bradford, United Kingdom, Pratibha Garg, Assistant Professor, Amity School of Business, Amity University, Noida, Uttar Pradesh, India, Neha Gupta, Assistant Professor, Amity School of Business, Amity University, Noida, Uttar Pradesh, India, Mohini Agarwal, Assistant Professor, Amity School of Business, Amity University, Noida, Uttar Pradesh, India.

Contributor(s): Publisher: Boca Raton, FL : CRC Press, Taylor & Francis Group, 2023Edition: First editionDescription: xiii, 260 pages : illustrations ; 24 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9781032039046
Subject(s): DDC classification:
  • 23/eng/20221207 650.0285 D26 2023
LOC classification:
  • HF5548.2 .D278 2023
Contents:
SECTION I: OPERATIONS AND SUPPLY CHAIN ANALYTICS. Wholesale Price Strategy of a Manufacturer under Collusion of Downstream Channel Members: A Game-Theoretic Approach. AI and ML in Supply Chain Decision Making – A Pragmatic Discussion. Assessing Relations of Lean Manufacturing, Industry 4.0 and Sustainability in Manufacturing Environment. Role of Artificial Intelligence in Supply Chain Management. Impact of Blockchain in Creating Sustainable Supply Chain. Exploring Adoption of Blockchain Technology for Sustainable Supply Chain Management. SECTION II: DATA MINING, COMPUTATIONAL FRAMEWORK, AND PRACTICES. Mathematical Model of Consensus and its Adaptation to Achievement Consensus in Social Groups. Data to Data Science: A Phenomenal Journey. Application of Algorithm on Computational Intelligence and Machine Learning for Product Design: Emerging Needs and Challenges. SECTION III: BUSINESS INTELLIGENCE AND ANALYTICS APPLICATIONS. HR ANALYTICS: Galvanizing the Organizations with Prowess of Technology. Marketing Analytics – Concept, Applications, Opportunities, and Challenges Ahead. Effect of Social Media Usage on Anxiety During a Pandemic: An Analytical Study on the Young Adults. An Exploratory Study of Understanding Consumer Buying Behaviour Towards Green Cosmetics Products in the Indian Market. Analytical Study of Factors Affecting Adoption of Blockchain by Fintech Companies. A Study of the Performances of Small Cap, Large Cap and Banking & Financial Sector Funds of Nippon India AMC, ICICI Prudential AMC and Tata AMC.
Summary: "Business Analytics, one of the most popular research areas today, is driven by expanding requisites from the real world. This book reveals advances in data analytics and business intelligence that can assist industries in problem-solving exercises, with a view to driving competitive advantage. The book contains a wide range of knowledge, insights, and directions that can help master the analytics skills needed to improve, innovate, and formulate new or existing processes, products, and services. In addition, this book demonstrates how to go beyond conventional analytical tools to reach the depth of the data and how the insights derived can be used for decision-making and for telling compelling stories"-- Provided by publisher.
Holdings
Item type Current library Collection Call number Status Barcode
Books Books College Library General Circulation Section GC GC 650.0285 D26 2023 (Browse shelf(Opens below)) Available HNU005555

"A Science Publishers Book."

Includes bibliographical references and index.

SECTION I: OPERATIONS AND SUPPLY CHAIN ANALYTICS. Wholesale Price Strategy of a Manufacturer under Collusion of Downstream Channel Members: A Game-Theoretic Approach. AI and ML in Supply Chain Decision Making – A Pragmatic Discussion. Assessing Relations of Lean Manufacturing, Industry 4.0 and Sustainability in Manufacturing Environment. Role of Artificial Intelligence in Supply Chain Management. Impact of Blockchain in Creating Sustainable Supply Chain. Exploring Adoption of Blockchain Technology for Sustainable Supply Chain Management. SECTION II: DATA MINING, COMPUTATIONAL FRAMEWORK, AND PRACTICES. Mathematical Model of Consensus and its Adaptation to Achievement Consensus in Social Groups. Data to Data Science: A Phenomenal Journey. Application of Algorithm on Computational Intelligence and Machine Learning for Product Design: Emerging Needs and Challenges. SECTION III: BUSINESS INTELLIGENCE AND ANALYTICS APPLICATIONS. HR ANALYTICS: Galvanizing the Organizations with Prowess of Technology. Marketing Analytics – Concept, Applications, Opportunities, and Challenges Ahead. Effect of Social Media Usage on Anxiety During a Pandemic: An Analytical Study on the Young Adults. An Exploratory Study of Understanding Consumer Buying Behaviour Towards Green Cosmetics Products in the Indian Market. Analytical Study of Factors Affecting Adoption of Blockchain by Fintech Companies. A Study of the Performances of Small Cap, Large Cap and Banking & Financial Sector Funds of Nippon India AMC, ICICI Prudential AMC and Tata AMC.

"Business Analytics, one of the most popular research areas today, is driven by expanding requisites from the real world. This book reveals advances in data analytics and business intelligence that can assist industries in problem-solving exercises, with a view to driving competitive advantage. The book contains a wide range of knowledge, insights, and directions that can help master the analytics skills needed to improve, innovate, and formulate new or existing processes, products, and services. In addition, this book demonstrates how to go beyond conventional analytical tools to reach the depth of the data and how the insights derived can be used for decision-making and for telling compelling stories"-- Provided by publisher.

College of Engineering and Computer Studies Bachelor of Science in Information Technology

In English

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