This thesis aims to promote the understanding of the role of big data and research in the creative industries in order to discover the importance of data collection and interpretation in research as a way of informing design decisions and validating the creative process. This thesis begins with a broad discussion of data and its history, before narrowing the focus to specific applications of data in a range of disciplines, data as a humanizing tool, and concluding with the discussion of the creative process in context to big data. Selected case studies examine data’s role in the project and their subsequent successes and/or failures.
I am studying big data (qualitative/quantitative; structured/unstructured) in order to understand how it effects the creative process and designed solutions in order to help designers (or creative industries) understand how best to incorporate big data analysis into their design thinking to create more effective campaigns that transforms abstract audiences into real individuals. Using an epistemological approach (knowledge seeking) within an axiological approach (study of quality and value), this thesis will explore through both deductive (collection of data) and inductive (interpretation of data) methods the opportunity that exists for designers and visual communicators to use this information in the formative creative process to create unique narrative experiences.
I wanted to share with you a few pages of the book layouts to share the design style that I had chosen for this thesis book. The book was divided into three parts; the pinks, blues, and yellows were used to designate when each new section of the book was reached. The digitized images were used for texture and to further weave the elements of data into the structure and style of the book.
