A Maturity Model of Data Modeling in Self-Service Business Intelligence Software

<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>

Name thesis:degree_name

Master of Science in Information Technology (MSIT)

Level thesis:degree_level

Thesis

Discipline thesis:degree_discipline

Information Technology

Year dc:date.available

2022

Author dc:creator

• Kurenkov, Anna

Contributors dc:contributor

• Dr. Jack Zheng
• Dr. Seyedamin Pouriyeh
• Dr. Zhigang Li

• data modeling
• business intelligence
• SSBI
• BI
• maturity model
• Databases and Information Systems
• Data Science

Repository record dc:identifier

https://digitalcommons.kennesaw.edu/msit_etd/13

OAI identifier oai:identifier

oai:digitalcommons.kennesaw.edu:msit_etd-1014