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  <titleInfo>
    <title>Management decision-making, big data and analytics</title>
  </titleInfo>
  <name type="personal">
    <namePart>Gressel, Simone</namePart>
    <role>
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  <name type="personal">
    <namePart>Pauleen, David J.</namePart>
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  <name type="personal">
    <namePart>Taskin, Nazim</namePart>
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  <originInfo>
    <place>
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    <place>
      <placeTerm type="text">Hosur</placeTerm>
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    <publisher>Sage Publications India Pvt Ltd.</publisher>
    <dateIssued>2021</dateIssued>
    <dateIssued encoding="marc">2022</dateIssued>
    <issuance>monographic</issuance>
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  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
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  <language>
    <languageTerm authority="iso639-2b" type="code">ENG</languageTerm>
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  <physicalDescription>
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    <extent>237 p.  PB</extent>
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  <abstract>"This engaging text approaches data analytics from a managerial perspectives and explores how managers can use data to take better-decisions. This book 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 technology like 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. Simone Gressel (PhD) is a lecturer at The Hague University of Applied Sciences in the Netherlands. David J. Pauleen (PhD) is professor of Technology Management at Massey University, New Zealand. Nazim Taskin is a Senior Lecturer at School of Management, Massey University, New Zealand. 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"--</abstract>
  <note type="statement of responsibility">by Simone Gressel, David J. Pauleen and Nazim Taskin </note>
  <subject authority="lcsh">
    <topic>Management</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Business intelligence</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Decision making</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Big data</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Data analytics</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Business analytics</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Statistical methods</topic>
  </subject>
  <classification authority="ddc">658.403 3  SIM-M</classification>
  <identifier type="isbn">9789354793943</identifier>
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