Management Decision-Making, Big Data and Analytics

By: David J. Pauleen and Simone Gressel and Nazim Taskin

Sign Up Now! Already a Member? Log In
You must be logged into Bookshare to access this title. Learn about membership options, or view our freely available titles.

Synopsis: This engaging textbook approaches data analytics from a managerial perspective and explores how managers can use data to take better decisions. Management Decision-Making, Big Data and Analytics is set apart by the fact that it places the human element of data analytics at its centre. While discussing sophisticated technology, it never forgets the people who will ultimately use these tools in business. This book addresses the cultural gap that often exists between information technologists and managers who must take decisions using new technology. Cutting-edge technologies such as big data, AI, deep learning and augmented intelligence are explained in terms that can be understood by readers with little or no background in technology. Combining theory with practical application, the authors make the topics in the book engaging and relevant for students of management. Key Features: • Features case studies, examples and a 'critical incidents' section that relates theories to real business situations • Discusses managing the ethics, security, privacy and legal aspects of data-driven decision-making • Explores emerging technologies and how they are applicable to managerial decision-making