Description
- Includes applications of data analytics to different business areas to solve complex situations.
- Uses data analytics in decision-making and policy framing.
- Innovate existing business strategies with data analytics tools.
- Identifies practices and applications of business analytics and develop computational frameworks that can assist organizations in gaining a competitive advantage.
- Incorporates data analytics tools to cater to day-to-day management problems.
Table of 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 窶� 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 窶� 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.
