Conceptual Model for Successful Implementation of Big Data in Organizations

The current paper aims to develop a holistic model that includes the factors that would affect the success or failure of the implementation of big data in organizations, and examines the opportunities that organizations would attain from implementing big data, as well as the challenges that could hinder this implementation.

Abstract

The term ‘big data’ has gained huge popularity in recent years among IT professionals and academicians. Big data describes the massive amount of data that can be processed and analyzed using technology to gain business values that will help organizations to achieve competitive advantages. The current paper aims to develop a holistic model that includes the factors that would affect the success or failure of the implementation of big data in organizations. Furthermore, this research examines the opportunities that organizations would attain from implementing big data, as well as the challenges that could hinder this implementation. The proposed model provides IT managers and decision makers the important factors that they need to consider when deciding to implement big data in order to ensure that it achieves the competitive advantage.