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Analysis, Evaluation, and Upgrading of a Data Analytics Methodology Through a Qualitative Evaluation Technique and a User-Centered Design Process

Abstract:

A data analytics (DA) methodology allows a proper treatment to obtain the best benefit from the data with the aim of allowing supported business decisions to be made. However, a DA methodology needs to be continually reviewed and updated to incorporate standpoint from researchers, in order to become the most efficient version. Our paper carried out an analysis and evaluation of the first phase of a selected DA methodology called MIDANO applying qualitative techniques to reach an improved version. The analysis and evaluation process were applied through a focus group discussion from the results obtained during the implementation of a case study. The upgraded DA methodology, as a result of the qualitative analysis, was related to the nine attributes extracted, classified, and validated from a user-centered design process previously studied, and based on ISO 9241:2010 standard, in order to obtain a DA methodology participatory, adaptable, efficient, collaborative, and easy-to-apply.