
Applying Predictive Analytics Within the Service Sector by Rajendra Sahu
Value creation is a prime concern for any contemporary business. This can be accomplished through the incorporation of various techniques and processes, such as the integration of analytics to improve business functions. Applying Predictive Analytics Within the Service Sector is a pivotal reference source for the latest innovative perspectives on the incorporation of analysis techniques to enhance business performance. Examining a wide range of relevant topics, such as alternative clustering, recommender systems, and social media tools, this book is ideally designed for researchers, academics, students, professionals, and practitioners seeking scholarly material on business improvement in the service industry.-
Business Intelligence Applications and the Web
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Remote Workforce Training
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Cases on Enterprise Information Systems and Implementation Stages
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Data Envelopment Analysis and Effective Performance Assessment
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Cloud Computing Technologies for Green Enterprises
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Enterprise Big Data Engineering, Analytics, and Management
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Handbook of Research on Intelligent Techniques and Modeling Applications in Marketing Analytics
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Strategic IT Governance and Alignment in Business Settings
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Eye-Tracking Technology Applications in Educational Research
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Organizational Productivity and Performance Measurements Using Predictive Modeling and Analytics
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Electronic Supply Network Coordination in Intelligent and Dynamic Environments
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Maximizing Business Performance and Efficiency through Intelligent Systems
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Applied Big Data Analytics in Operations Management
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Maximizing Information System Availability Through Bayesian Belief Network Approaches
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Enterprise Information Systems for Business Integration in SMEs
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Enterprise Information Systems Design, Implementation and Management
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Advanced Fashion Technology and Operations Management
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Business Technologies in Contemporary Organizations
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Strategic Information Systems and Technologies in Modern Organizations
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Automated Enterprise Systems for Maximizing Business Performance
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Business Analytics and Cyber Security Management in Organizations
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Uncovering Essential Software Artifacts through Business Process Archeology
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Information Systems and Technology for Organizations in a Networked Society
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Improving Organizational Effectiveness with Enterprise Information Systems
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Managing Enterprise Information Technology Acquisitions
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Pervasive Computing for Business
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Feral Information Systems Development
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Effects of IT on Enterprise Architecture, Governance, and Growth
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Smart Technology Applications in Business Environments
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Strategic Utilization of Information Systems in Small Business
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Exploring Enterprise Service Bus in the Service-Oriented Architecture Paradigm
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Frameworks of IT Prosumption for Business Development
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A Systemic Perspective to Managing Complexity with Enterprise Architecture
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Business Transformation and Sustainability through Cloud System Implementation
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Handbook of Research on Organizational Transformations through Big Data Analytics
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Handbook of Research on Advanced Data Mining Techniques and Applications for Business Intelligence
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Technology, Innovation, and Enterprise Transformation
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Enterprise Management Strategies in the Era of Cloud Computing
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Business Intelligence and Agile Methodologies for Knowledge-Based Organizations
Anil Kumar is presently working as a researcher in the Energy Technology Research Center, Department of Mechanical Engineering, Faculty of Engineering, Prince of Songkla University, Hat Yai, Songkhla, Thailand. On a higher study sabbatical leave he is now working in the regular post of Assistant Professor in the Department of Energy (Energy Centre), Maulana Azad National Institute of Technology (MANIT), Bhopal, India. Anil Kumar completed his B.Tech. in Mechanical Engineering followed by an M.Tech. in Energy Technology and a PhD in Solar Thermal Technologies. He has also received a PhD on the topic 'Thermal Modeling of Greenhouse Dryer' from the Centre for Energy Studies (CES), Indian Institute of Technology Delhi, India. He has 11 years of experience in teaching and research at international institutes. His main areas of research interest are solar thermal technology, distribution of energy generation, clean energy technologies, renewable energy application in buildings and energy economics. He has published 4 books namely, 'Energy Environment Ecology and Society', 'Fundamentals of Mechanical Engineering', 'Environmental Science: Fundamental, Ethics & Laws' and 'Advance 'Internal Combustion Engine' and holds 2 patents. He has also published more than 100 research articles in journals and at international conferences. Presently, he is a reviewer of various journals of repute. In his tenure at the NIT Bhopal, he has supervised 4 PhD and 19 masters' students.
Om Prakash received his doctorate in Energy from the Maulana Azad National Institute of Technology, Bhopal, India in 2015. He was awarded scholarship during his postgraduate and doctorate programmes. Presently, he is working as Assistant Professor in the Department of Mechanical Engineering at the Birla Institute of Technology, Mesra, Ranchi, India. He has published 20 research papers in international journals and eight papers in international conferences. He has also contributed four book chapters. He is a reviewer of many reputed international journals such as The Energy Report, Green Energy, Renewable Sustainable Energy Review, Ambient Energy, and Renewable and Sustainable Energy. He is working in the fields of renewable energy, energy and environment, solar energy applications, heat transfer and energy economics.| SKU | Unavailable |
| ISBN 13 | 9781522521488 |
| ISBN 10 | 1522521488 |
| Title | Applying Predictive Analytics Within the Service Sector |
| Author | Rajendra Sahu |
| Series | Advances In Business Information Systems And Analytics |
| Condition | Unavailable |
| Binding Type | Hardback |
| Publisher | IGI Global |
| Year published | 2017-02-07 |
| Number of pages | 280 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |






































