Value Creation in Big Data Scenarios: A Literature Survey
Abstract
Knowing how value creation is understood and managed by Big Data-based companies can be a key strategy to boost business. The typical process of identifying value creation in organizations is quite complex, since it involves internal and external factors to them. In Big Data scenarios, we should also consider the uncertainty about future processes of value creation, regarding the trends inferred by predictive analytics processes. 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 good performance of transaction speed and of coping with the extensive variety of data types, inherent to such environments. In order to properly identify and work with the idea of value in their businesses, Big Data-based companies have thus far more challenging hurdles to overcome. This paper proposes a survey of the creation of value in such environments. For 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.
