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In today's data-driven panorama, the ability to analyze information to drive decision-making and resolve problems is fundamental for success. This requires a robust, effective, flexible, data analytics that assists to build accurate predictive versions quickly and intuitively. Data analysis is a common technique used to analyze data in various fields of modern scientific research, which includes different divisions of Data analytics include many techniques. Clustering is considered as one of the unsupervised learning technique for analyzing the data. With the increase in number of disciplines, the amount of data is also increased. This results in the development of various tools and algorithms for applying cluster analysis. Each of the clustering algorithm has its own advantages and limitations and it completely depends on the complexity of available information. The current research is an attempt to analyze the data using clustering techniques. The researcher use python language to compile a program to collect the data from an enterprise's information management system. Python is used to analyze and clusters are interpreted accordingly. The results of clustering data based on different dimensions will lead to improve knowledge about the data accordingly.

Green Information Technology (GIT) is emerging as an increasingly important issue as organizations come under pressure to address environmental sustainability concerns. Despite increased attention from business, government and more recently, Information Systems (IS) researchers, a measure to determine the capability of organizations to Green their IT remains elusive. The ultimate aim is to utilize IT and physical base productively and adequately to perform all the processes of organizations with zero or negligible effect on the nature's domain. The researcher contend in this paper that there is an earnest requirement for organizations to consider the factors that motivate them to adopt green IT as one practical response to the threat of global warming and climate change. The purpose of this study is to use Molla's GITAM model in context of UAE and identify the factors that motivates the organization to adopt Green IT. The results of this study help the organization to make strategies related to green computing for their economic and environmental sustainability. In this regard, this study fills the gap between the principles of green information technology and sustainability of organizations.