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Management decision-making, big data and analytics

By: Contributor(s): Material type: TextTextPublication details: Sage Publications India Pvt. Ltd. New Delhi 2021Description: xx, 237 pISBN:
  • 9789354793943
Subject(s): DDC classification:
  • 658.4033 GRE
Summary: 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.
List(s) this item appears in: IT & Decision Sciences | Public Policy & General Management
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Item type Current library Collection Call number Copy number Status Date due Barcode
Book Book Indian Institute of Management LRC New Materials Shelf IT & Decisions Sciences 658.4033 GRE (Browse shelf(Opens below)) 1 Available 002520

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.

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