The Application of Design Thinking on Evaluating a User Self-Service Data Analytics/Science Platform
Master of Science (MS)
Program or Discipline Name
Information Systems Engineering and Management
This thesis is aimed at utilising design thinking and the first half of the double diamond framework to i) set-up a research and select the appropriate participants, ii) gather requirements and define user personas from those eligible participants, and then iii) define the framework for evaluating a user self-service data analytics/science platform. Derived from the author’s own experiences, both as a Business Analyst (BA) and Citizen Data Scientist, with no-, low-, and code-based data analytics and science platforms are being implemented for enabling user self-service analytics – for users who are completely new to the space of data analysis and science as well as those who are experienced analysts and data scientists across a variety of industries and global regions – and there has been a need to outline an enablement process for this space. Through this research, the current state of the marketplace is researched, analysed, and evaluated alongside user research carried out on the feasibility and applicability of a UI- and UX-centric framework for ensuring human-centred design. A literature review showcases the benefits of human-centred design for humans when it comes to usability and techniques for such an application in various other fields. The key aspects of this research are to understand the users’ capabilities, needs, and wants, then categorise those users into personas, analyse and segment the requirements, create functional and non-functional requirements for platform capabilities, and then, ultimately, provide an evaluation framework for any organisation and/or individual looking for a user self-service data analytics/science platform by carrying out a pilot research study on ten (10) participants.
Pattnaik, A. (2021). The Application of Design Thinking on Evaluating a User Self-Service Data Analytics/Science Platform. Retrieved from https://digitalcommons.harrisburgu.edu/isem_dandt/3
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