A Review on Big Data Maturity Models | IEEE Conference Publication | IEEE Xplore

A Review on Big Data Maturity Models


Abstract:

Big Data is the current currency in the competitive market of the digital economy. The ability to be successful in Big Data is related to the maturity level of the organi...Show More

Abstract:

Big Data is the current currency in the competitive market of the digital economy. The ability to be successful in Big Data is related to the maturity level of the organization. A Maturity Model (MM) is a tool that can be applied to assess the “As-is” situation regarding specific key dimensions, where the maturity levels indicate an organization's current capabilities and the desirable state. Most of the available literature on the Maturity Models for Big Data is still in white papers, reports, and internet materials from developers' websites. The existing literature might not have covered all the available Maturity Models for Big Data. This paper reviewed the existing literature to achieve three objectives: first, to provide a comprehensive overview about the Maturity, Maturity Model, Capability Maturity Model, and the Maturity Model for Big Data; second, to identify the existing Big Data Maturity Models and to summarize the most used models; third, to highlight the limitations of the existing Big Data Maturity Models.
Date of Conference: 09-11 April 2019
Date Added to IEEE Xplore: 20 May 2019
ISBN Information:
Conference Location: Amman, Jordan

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