Authors : Heba El Desouky, Sherif Mazen and Mohamed Elramly
Abstract: The area of big data is attracting the attention of academia, industry and government across the world, due to the rapid development of the internet, the Internet of Things and cloud computing and the gigantic amounts of data collected daily. However, the question, “How to set up and optimize a big data project for successful assimilation of big data projects in organizations?” is still an open question. This is becoming an increasingly challenging task that requires understanding the value of big data, the challenges facing big data projects and the steps involved in running a big data project. Many researchers claim that failure rates for big data projects are considerably high due to several aspects affecting successful big data project management. In our study, we investigate the unique aspects of planning and managing big data projects. We propose an adaptation of traditional roles in agile projects to accommodate the specific needs of big data projects. Specifically, we propose and study the involvement of data steward role in big data projects to address the specific needs of such projects and eliminate the causes of failure, thus, increasing the successful completion rate of such projects. In this study. We back our position with a case study of the application of data steward in managing a big data project in a company working in the meal delivery industry. Our study lasted for a year and studied the performance of an agile project team represented by team velocity and productivity. Results show significant improvement.
Heba El Desouky, Sherif Mazen and Mohamed Elramly, 2021. Study of Data Steward Involvement in Agile Big Data Project Management. International Business Management, 15: 247-255.