Date of Award
Fall 12-8-2022
Degree Type
Thesis
Degree Name
Master of Science in Information Technology (MSIT)
Department
Information Technology
Committee Chair/First Advisor
Dr. Jack Zheng
Second Advisor
Dr. Seyedamin Pouriyeh
Third Advisor
Dr. Zhigang Li
Abstract
Although Self-Service Business Intelligence (SSBI) is continually being adopted in various industries, there is a lack of research focused on data modeling in SSBI. This research aims to fill that research gap and propose a maturity model for SSBI data modeling which is generalizeable between different software and applicable for users of all technical backgrounds. Through extensive literature review, a five-tier maturity model was proposed, explained, and instantiated in PowerBI and Tableau. The testing of the model was found to be simple and intuitive, and the research concludes that the model is applicable to enterprise SSBI environments. This research is limited to SSBI software and does not consider architecture specifications such as data warehouse or hardware limitations, and could be expanded in future research to include those considerations.