• Title of article

    Analytical Study on Building a Comprehensive Big Data Management Maturity Framework

  • Author/Authors

    Helmy, Mervat Faculty of Computers and Artificial Intelligence - Cairo University, Giza, Egypt , Mazen, Sherif Faculty of Computers and Artificial Intelligence - Cairo University, Giza, Egypt , Helal, Iman M. Faculty of Computers and Artificial Intelligence - Cairo University, Giza, Egypt , Youssef, Wagdy Ministry of Justice, Cairo, Egypt

  • Pages
    31
  • From page
    225
  • To page
    255
  • Abstract
    Harnessing big data in organizations today realizes benefits for competitive advantage. Generated profound insights are reflected in informed decision making, creating better business plans, and improved service delivery. Yet, organizations are still not recognizing how mature their big data management capabilities are. However, there is no structured approach to assess and build necessary capabilities for valuable big data utilizing, which draws a clear improvement pathway. Existing solutions lack a consistent perception of big data management capabilities, a reliable assessment, and a rigid improvement scheme. This paper contributes in building an analytical study on existing key works in assessing and building big data management capabilities. Drawing upon the results and gaps revealed from this analytical study, the main requirements for building a comprehensive big data management maturity framework are defined. This framework will enable organizations to assess and improve their current capabilities towards effective big data management.
  • Keywords
    Big Data Management Maturity , Big Data Management Capabilities , Big Data Capabilities , Big Data Capabilities Construct , Big Data Maturity Model
  • Journal title
    International Journal of Information Science and Management (IJISM)
  • Serial Year
    2022
  • Record number

    2729829