This paper presents a conceptual and theoretical investigation into computational mechanisms designed to achieve creative outcomes. It introduces an innovative framework, rooted in Dimensional Analysis, to operationalise the proposed system. The study explores the potential linkage between the Data-Information-Knowledge-Wisdom (DIKW) paradigm and creativity, highlighting the need for a more precise application of this paradigm in theoretical scenarios. It seeks to examine and develop corroborative measures or computational techniques to elucidate the process of transforming data into wisdom, with a particular focus on the role of creativity in this transformation. The current literature offers limited insight into the creative aspects of data processing, with scant emphasis on conceptualising or defining methods, frameworks, or approaches for quantitatively assessing creativity. Addressing this gap, our research proposes a methodological approach based on Dimensional Analysis, integrating specific creative strategies within a Creative Computing framework. This methodology capitalises on the attributes of creativity in data processing to inspire and guide users, necessitating the development of a novel computational approach that diverges from traditional methodologies. It aims to instil foundational creativity and facilitate the generation of creative outcomes from data. Dimensional Analysis is employed to address the complexities inherent in physical problems, simplifying the variable landscape and enabling preliminary inferences on unresolved issues. This approach is instrumental in providing insights and theoretical guidance for creativity research, highlighting the significance of Dimensional Analysis in enhancing our understanding of creative processes within computational frameworks. This paper underscores the conceptual and theoretical nature of the study, aiming to contribute to the body of knowledge on the intersection of creativity, the DIKW paradigm, and computational techniques.