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.
","abstract_html":"<p>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.</p>","abstract_has_math":false,"creators":["Kurenkov, Anna"],"institution":null,"degree_name":"Master of Science in Information Technology (MSIT)","degree_level":"Thesis","degree_discipline":"Information Technology","degree_department":null,"school":null,"contributors":["Dr. Jack Zheng","Dr. Seyedamin Pouriyeh","Dr. Zhigang Li"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2022,"date_issued":"2022-12-08T08:00:00Z","date_published":"2022-12-08T08:00:00Z","updated_at":"2026-07-24T02:43:58Z","subjects":["data modeling","business intelligence","SSBI","BI","maturity model","Databases and Information Systems","Data Science"],"languages":[],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://digitalcommons.kennesaw.edu/msit_etd/13","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Dr. Jack Zheng","Dr. Seyedamin Pouriyeh","Dr. Zhigang Li"]},{"key":"dc:creator","label":"Author","values":["Kurenkov, Anna"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.available","label":"Dc Date Available","values":["2022-12-08T08:00:00Z"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Information Technology"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Master of Science in Information Technology (MSIT)"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["data modeling","business intelligence","SSBI","BI","maturity model","Databases and Information Systems","Data Science"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://digitalcommons.kennesaw.edu/msit_etd/13"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["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.
"]},{"key":"dc:title","label":"Title","values":["A Maturity Model of Data Modeling in Self-Service Business Intelligence Software"]}]}],"canonical_facts":{"dc:contributor":["Dr. Jack Zheng","Dr. Seyedamin Pouriyeh","Dr. Zhigang Li"],"dc:creator":["Kurenkov, Anna"],"dc:date.available":["2022-12-08T08:00:00Z"],"dc:description.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.
"],"dc:identifier":["https://digitalcommons.kennesaw.edu/msit_etd/13"],"dc:subject":["data modeling","business intelligence","SSBI","BI","maturity model","Databases and Information Systems","Data Science"],"dc:title":["A Maturity Model of Data Modeling in Self-Service Business Intelligence Software"],"thesis:degree_discipline":["Information Technology"],"thesis:degree_level":["Thesis"],"thesis:degree_name":["Master of Science in Information Technology (MSIT)"]},"updated_at":"2026-07-24T02:43:58Z"}