1st Edition
Data Analytics and Business Intelligence Computational Frameworks, Practices, and Applications
Business Analytics (BA) is an evolving phenomenon that showcases the increasing importance of using huge volumes of data to generate value for businesses. Advances in BA have offered great opportunities for organisations to improve, innovate, and develop existing or new processes, products, and services. BA is the process of transforming data into actionable insight by using statistical and mathematical analysis, descriptive, prescriptive, and predictive models, machine learning, information systems and network science methods, among others, along with a variety of data, expert knowledge, and fact-based management to support better and faster decision-making.
BA and Business Intelligence (BI) generate capabilities for companies to compete in the market effectively and has become one of the main functional areas in most companies. BA tools are used in diverse ways, for example, to identify consumer behaviour patterns and market trends, to derive valuable insights on the performance of stocks, to find information on the attrition rate of employees, to analyse and solve healthcare problems, to offer insight into inventory management and supply chain management, to analyse data from social networks, and to infer traffic behaviour and develop traffic management policy, among others.
BA and BI have become one of the most popular research areas in academic circles, as well as in the industry, driven by the increasing demand in the business world. This book aims to become a stimulus for innovative business solutions covering a wide range of aspects of business analytics, such as management science, information technology, descriptive, prescriptive, and predictive models, machine learning, network science, mathematical and statistical techniques. The book will encompass a valuable collection of chapters exploring and discussing computational frameworks, practices, and applications of BA that can assist industries and relevant stakeholders in decision-making and problem-solving exercises, with a view to driving competitive advantage.
SECTION I: OPERATIONS AND SUPPLY CHAIN ANALYTICS
Wholesale Price Strategy of a Manufacturer under Collusion of Downstream Channel Members: A Game-Theoretic Approach
Rofin T M, and Biswajit Mahanty
AI and ML in Supply Chain Decision Making – A Pragmatic Discussion
Arvind Shroff
Assessing Relations of Lean Manufacturing, Industry 4.0 and Sustainability in Manufacturing Environment
Vikas Swarnakar and Anthony Bagherian
Role of Artificial Intelligence in Supply Chain Management
Pratibha Garg, Neha Gupta, and Mohini Agarwal
Impact of Blockchain in Creating Sustainable Supply Chain
Piyusha Nayyar and Pratibha Garg
Exploring Adoption of Blockchain Technology for Sustainable Supply Chain Management
Salaj Chikkara, Subhrata Das and Mohini Agarwal
SECTION II: DATA MINING, COMPUTATIONAL FRAMEWORK, AND PRACTICES
Mathematical Model of Consensus and its Adaptation to Achievement Consensus in Social Groups
Iosif Z. Aronov and Olga V. Maksimova
Data to Data Science: A Phenomenal Journey
Mohammad Haider Syed, Sidhu, and Kamal Upreti
Application of Algorithm on Computational Intelligence and Machine Learning for Product Design: Emerging Needs and Challenges
Sukanta Kumar Baral and Ramesh Chandra Rath
SECTION III: BUSINESS INTELLIGENCE AND ANALYTICS APPLICATIONS
HR ANALYTICS: Galvanizing the Organizations with Prowess of Technology
Ruchi Jain and Ruchi Khandelwal
Marketing Analytics – Concept, Applications, Opportunities, and Challenges Ahead
Manita Matharu
Effect of Social Media Usage on Anxiety During a Pandemic: An Analytical Study on the Young Adults
Amit Dangi, Vijay Singh, and Neha Gupta
An Exploratory Study of Understanding Consumer Buying Behaviour Towards Green Cosmetics Products in the Indian Market
Md Sohail, Richa Srivastava, and Srikant Gupta
Analytical Study of Factors Affecting Adoption of Blockchain by Fintech Companies
Pooja Mathur and Sony Thakural
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
Khushboo Bhasin and Saloni Pahuja
Biography
Vincent Charles, Mohini Agarwal