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: Meeting the challenges of data quality management
  name:
    name part: Sebastian-Coleman, Laura
    name part: (Data quality author and practitioner)
    role:
      role term: creator
  name:
    name part: ScienceDirect (Online service)
  type of resource: text
  genre: Electronic books.
  origin info:
    place:
      place term: enk
    place:
      place term: London
    publisher: Academic Press
    date issued: 2022
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource
  abstract: "Meeting the Challenges of Data Quality Management outlines the foundational concepts of data quality management and its challenges. The book enables data management professionals to help their organizations get more value from data by addressing the five challenges of data quality management: the meaning challenge (recognizing how data represents reality), the process/quality challenge (creating high-quality data by design), the people challenge (building data literacy), the technical challenge (enabling organizational data to be accessed and used, as well as protected), and the accountability challenge (ensuring organizational leadership treats data as an asset). Organizations that fail to meet these challenges get less value from their data than organizations that address them directly. The book describes core data quality management capabilities and introduces new and experienced DQ practitioners to practical techniques for getting value from activities such as data profiling, DQ monitoring and DQ reporting. It extends these ideas to the management of data quality within big data environments. This book will appeal to data quality and data management professionals, especially those involved with data governance, across a wide range of industries, as well as academic and government organizations. Readership extends to people higher up the organizational ladder (chief data officers, data strategists, analytics leaders) and in different parts of the organization (finance professionals, operations managers, IT leaders) who want to leverage their data and their organizational capabilities (people, processes, technology) to drive value and gain competitive advantage. This will be a key reference for graduate students in computer science programs which normally have a limited focus on the data itself and where data quality management is an often-overlooked aspect of data management courses. Describes the importance of high-quality data to organizations wanting to lever…
  note: Laura Sebastian-Coleman.
  subject:
    topic: Knowledge management
  subject:
    topic: Information technology
    topic: Management
  subject:
    topic: Knowledge Management
  subject:
    topic: Gestion des connaissances
  subject:
    topic: Technologie de l'information
    topic: Gestion
  subject:
    topic: Information technology
    topic: Management
  subject:
    topic: Knowledge management
  classification: HD30.2
  classification: 658.4038
  related item:
    identifier: (OCoLC)1265456303
  identifier: 9780128217566
  identifier: 0128217561
  identifier: 9780128217375
  identifier: 0128217375
  identifier: 9780128217566 Ingram Content Group
  identifier: 9780128217566 O'Reilly Media
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: YDX
    record creation date: 220128
    record change date: 20260327171430.6
    record identifier: in00005769252
    language of cataloging:
      language term: eng