Data Analytics and Business Intelligence: Computational Frameworks, Practices, and Applications
Editat de Vincent Charles, Pratibha Garg, Neha Gupta, Mohini Agarwalen Limba Engleză Hardback – 15 iun 2023
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.
Preț: 749.16 lei
Preț vechi: 1101.19 lei
-32% Nou
Puncte Express: 1124
Preț estimativ în valută:
143.40€ • 154.18$ • 119.55£
143.40€ • 154.18$ • 119.55£
Carte tipărită la comandă
Livrare economică 19 decembrie 24 - 02 ianuarie 25
Preluare comenzi: 021 569.72.76
Specificații
ISBN-13: 9781032039046
ISBN-10: 1032039043
Pagini: 274
Ilustrații: 65 Tables, black and white; 41 Line drawings, black and white; 6 Halftones, black and white; 47 Illustrations, black and white
Dimensiuni: 156 x 234 x 18 mm
Greutate: 0.52 kg
Ediția:1
Editura: CRC Press
Colecția CRC Press
ISBN-10: 1032039043
Pagini: 274
Ilustrații: 65 Tables, black and white; 41 Line drawings, black and white; 6 Halftones, black and white; 47 Illustrations, black and white
Dimensiuni: 156 x 234 x 18 mm
Greutate: 0.52 kg
Ediția:1
Editura: CRC Press
Colecția CRC Press
Public țintă
AcademicCuprins
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.
Notă biografică
Vincent Charles, Mohini Agarwal
Descriere
Business Analytics, is driven by an increasing demand from the real world. This book reviews advances in data analytics and business intelligence that assists industries in problem-solving exercises, with a view to driving competitive advantage.