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: Weaving analytics for effective decision making
  name:
    name part: Banerjee, Arindam
    name part: 1965-
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Banerjee, Tanushri
    role:
      role term: author.
  name:
    name part: Sage Publications
  type of resource: text
  genre: Electronic books.
  origin info:
    place:
      place term: cau
    date issued: 2017
    edition: 1st edition.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (164 pages) : illustrations
  abstract: Weaving Analytics for Effective Decision Making helps managers unleash the power of analytics. It provides a roadmap for implementing analytics and securing a high return on investment for the organization. The book is meant primarily for decision makers, business leaders and business problem solvers who are engaged in decision-making roles in organizations. Several books have established the need for analytics in decision making; this book moves one step ahead and explains how managers can maximize the benefits of analytics in organizations. It spells out the sequence business managers should adopt towards building business intelligence-driven organizations.
  target audience: specialized
  note: Arindam Banerjee, Tanushri Banerjee.
  subject:
    topic: Industrial management
    topic: Decision making
    topic: Data processing
  subject:
    topic: Business
    topic: Decision making
    topic: Data processing
  classification: HD30.2 .B3576 2017
  classification: 658.4032
  identifier: 9789353280031 (ebook) :
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: CaToSAGE
    record creation date: 190531
    record change date: 20231120174128.9
    record identifier: in00004757680
    language of cataloging:
      language term: eng