Description

Book Synopsis

This book uncovers the latest techniques of information systems analysis, design and development used for managerial decision-making. It cogently deals with a variety of topics such as Decision Support systems, Executive Information systems, Artificial intelligence and Expert Systems, Data mining and warehousing.

The book includes throws light on Bigdata analytics adopting Hadoop and its ecosystems with illustrative practical examples. NoSQL databases have been elaborately described with real life examples, as well Cloud computing and Internet of things, as well as Generative AI. The illustrative examples and case studies presented in the book will appeal to readers from different backgrounds.

This book would be useful to the students, researchers, and teachers in disciplines of Management and Engineering. It would also serve as an invaluable resource for practicing business executives to enrich their knowledge and experience with the latest developments in the field of Management Information Systems, particularly in the e-Business areas helping them to implement MIS for effective decision making.

Management Information Systems in the Digital Era

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    Order before 4pm tomorrow for delivery by Tue 28 Jul 2026.

    A Paperback by Jaytilak Biswas

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      Publisher: Taylor & Francis
      Publication Date: Publication Date:
      ISBN13: 9781032835228, 978-1032835228
      ISBN10:

      Description

      Book Synopsis

      This book uncovers the latest techniques of information systems analysis, design and development used for managerial decision-making. It cogently deals with a variety of topics such as Decision Support systems, Executive Information systems, Artificial intelligence and Expert Systems, Data mining and warehousing.

      The book includes throws light on Bigdata analytics adopting Hadoop and its ecosystems with illustrative practical examples. NoSQL databases have been elaborately described with real life examples, as well Cloud computing and Internet of things, as well as Generative AI. The illustrative examples and case studies presented in the book will appeal to readers from different backgrounds.

      This book would be useful to the students, researchers, and teachers in disciplines of Management and Engineering. It would also serve as an invaluable resource for practicing business executives to enrich their knowledge and experience with the latest developments in the field of Management Information Systems, particularly in the e-Business areas helping them to implement MIS for effective decision making.

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