Characterizing the Value Creation in Organizations That Implement Big Data Environments

The identification of value creation in organizations is a complex process that involves internal and external factors to them. When applied to Big Data environments, this process becomes even more challenging because it takes also into account, from predictive analytics, the uncertainty about future processes of value creation. Big Data environments operate in a scale of large volumes of parallel-processed data; and aim to generate relevant information that otherwise would be impossible for traditional systems, especially if we expect a good performance of transaction speed and of coping with the extensive variety of data types, inherent to such environments. This paper aims to characterize the creation of value in organizations that implement Big Data. In order to fulfill this purpose, we undertook a theoretical study, which relied in a qualitative method approach of bibliographical, exploratory and descriptive nature. Finally, since this work is still on progress and it is not yet a conclusive proposal, we aim to compare our preliminary results to the typical perception of value creation, found in the literature. We also propose a discussion about the characterization of value creation in Big Data environments, to be taken further.