
Applied Big Data Analytics in Operations Management by Manish Kumar
Operations management is a tool by which companies can effectively meet customers' needs using the least amount of resources necessary. With the emergence of sensors and smart metering, big data is becoming an intrinsic part of modern operations management. Applied Big Data Analytics in Operations Management enumerates the challenges and creative solutions and tools to apply when using big data in operations management. Outlining revolutionary concepts and applications that help businesses predict customer behavior along with applications of artificial neural networks, predictive analytics, and opinion mining on business management, this comprehensive publication is ideal for IT professionals, software engineers, business professionals, managers, and students of management.-
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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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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Applying Predictive Analytics Within the Service Sector
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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
Dr. Manish Kumar is a faculty at Discipline of Earth Sciences, Indian Institute of Technology (IIT) Gandhinagar, Gujarat, India. He earned his Ph.D in Environmental Engineering from the University of Tokyo, Japan, and has received several prestigious awards and fellowship, such as Water Advanced Research and Innovation (WARI) Fellowship, Faculty Research Award, Best Research Award (IWA), Japan Society for the Promotion of Science (JSPS) foreign research fellowship, Brain Korea (BK)-21 post-doctoral fellowship, Monbukagakusho Scholarship, Linnaeus-Palme stipend from SIDA, Sweden, Research Fellowship from CSIR, India. Dr. Kumar is active in the fields of Hydrogeochemistry, Contaminant transport and modeling, Metal speciation, Isotope fingerprinting, Emerging contaminants and Water Management. He served as Principal Investigator (PI) for International Collaborative Projects funded by organizations like Asia Pacific Network, DST-JSPS, UKIERI etc. He is the associate editor of Groundwater for sustainable development (Elsevier) and Hydrological Research Letters and has more than sixty international journal publications and three edited books to his credit.
Dr. Daniel D Snow is a research professor in the University of Nebraska School of Natural Resources, and director of the Nebraska Water Sciences Laboratory, a part of the Nebraska Water Center and Robert B. Daugherty Water for Food Institute. He has been a researcher at the University of Nebraska since 1990, and has co-authored over 100 articles on topics ranging from pesticide and antibiotic occurrence in surface and groundwater to uranium-series isotope geochemistry. His research focuses on the uses analytical chemistry to help understand how water becomes contaminated and what we can do to prevent it. A good part of his work in the Water Sciences Laboratory involves creating analytical methods for new or emerging environmental contaminants like steroids, pharmaceuticals, algal toxins, explosives and pesticides. In the year 2015, his team was awarded with Excellence in Environmental Engineering and Science Grand Prize by American Academy of Environmental Engineers and Scientists.
Dr. Ryo Honda is a research associate professor in the faculty of geosciences and civil engineering, and an Adjunct professor of Research Center for Sustainable Energy and Technology of the Kanazawa University, Kanazawa, Japan. He has been associated with Kanazawa University since 2012. He was also associated with the University of Tokyo as project assistant professor during the period of 2005-2011. He was the long term editor of the Journal of Water Environment and Technology and a steering committee member of IWA Japan Young Water Professionals. Since 2016, he is actively engaged as an associate editor of nature partner journal-clean water. His field of interest includes but not limited to Environmental Process Engineering, Environmental Microbiology, Environmental and Energy Technology and Urban Engineering etc. He has been awarded with many accolades such as WET Excellent Paper Award from Japan Society of Water Environment, best poster award from 11th International Symposium on Southeast Asian Water Environment and many more. His research area focuses on environmental process engineering, environmental microbiology, and sustainability science. In addition to many international publications to his credit, he is also reviewing several international journals including Biotechnology and Bioengineering, Water Research, Bio resource Technology, Environmental Technology, Microbes and Environments, Biochemical Engineering Journal, Science of the Total Environment, Environmental Science and Pollution Research, etc.
| SKU | Unavailable |
| ISBN 13 | 9781522508861 |
| ISBN 10 | 1522508864 |
| Title | Applied Big Data Analytics in Operations Management |
| Author | Manish Kumar |
| Series | Advances In Business Information Systems And Analytics |
| Condition | Unavailable |
| Binding Type | Hardback |
| Publisher | IGI Global |
| Year published | 2016-09-30 |
| Number of pages | 164 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |






































