rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Big Data and Analytics
    sub title: Strategic and Organizational Impacts
  name:
    name part: Morabito, Vincenzo.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2015
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XXVI, 183 p. 27 illus. online resource.
  abstract: This book presents and discusses the main strategic and organizational challenges posed by Big Data and analytics in a manner relevant to both practitioners and scholars. The first part of the book analyzes strategic issues relating to the growing relevance of Big Data and analytics for competitive advantage, which is also attributable to empowerment of activities such as consumer profiling, market segmentation, and development of new products or services. Detailed consideration is also given to the strategic impact of Big Data and analytics on innovation in domains such as government and education and to Big Data-driven business models. The second part of the book addresses the impact of Big Data and analytics on management and organizations, focusing on challenges for governance, evaluation, and change management, while the concluding part reviews real examples of Big Data and analytics innovation at the global level. The text is supported by informative illustrations and case studies, so that practitioners can use the book as a toolbox to improve understanding and exploit business opportunities related to Big Data and analytics.
  table of contents: Part I Strategy -- 1 Big Data and analytics for competitive advantage -- 2 Big Data and analytics for government innovation -- 3 Big Data and education: massive digital education systems -- 4 Big Data driven business models -- Part II Organization -- 5 Big Data governance -- 6 Big Data and digital business evaluation -- 7 Managing change for Big Data driven innovation -- Part III Innovation practices -- 8 Big Data and analytics innovation practices -- 9 Conclusion.
  note: by Vincenzo Morabito.
  subject:
    topic: Business
  subject:
    topic: Management
  subject:
    topic: Industrial management
  subject:
    topic: Information technology
  subject:
    topic: Business
    topic: Data processing
  subject:
    topic: Database management
  subject:
    topic: Management information systems
  subject:
    topic: Computer science
  subject:
    topic: Business and Management
  subject:
    topic: Innovation/Technology Management
  subject:
    topic: IT in Business
  subject:
    topic: Management of Computing and Information Systems
  subject:
    topic: Database Management
  classification: HD28-70
  classification: 658.514
  related item:
    title info:
      title: Springer eBooks
  identifier: 9783319106656
  identifier: http://dx.doi.org/10.1007/978-3-319-10665-6
  record info:
    record creation date: 150131
    record change date: 20151204154547.0
    record identifier: 978-3-319-10665-6