Data Warehouse and Business Intelligence

Discover how data analysis is enabled to generate actionable insights for marketing stakeholders. This data engineering project implements a data mart and reporting dashboard for online contests and quizzes to help understand participant demographics, traffic sources, and geographical aspects.

Trupia, Salvatore, 2023

Art der Arbeit Bachelor Thesis
Auftraggebende Schweizer Milchproduzenten SMP
Betreuende Dozierende Wilke, Gwendolin
Keywords Data Warehouse, Data Mart, Business Intelligence, Data Engineering, Data Analysis, Power BI
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The client publishes online contests and quizzes as part of its brand advertising strategy. Currently, they analyze gathered data manually, which offers only a minimal number of insights. In order to leverage its potential for business, an interactive reporting dashboard based on a data mart for contest and quiz data is needed. A central requirement is the possibility to extend and integrate the data mart with a company-wide reporting and analysis platform in the future.
Based on collected requirements and constraints for the intended solution, a star schema model of the data mart is designed. The data mart is implemented using a number of data engineering tools that are predefined by the client’s data stack. A visually appealing and user-friendly dashboard for data visualization is developed in Power BI.
Based on the underlying data mart, the Power BI dashboard provides stakeholders with valuable insights that were not attainable before: The dashboard shows participant demographics, traffic sources, and geographical distributions of participants. It allows stakeholders to analyze the effectiveness of marketing measures, understand participant engagement, and make data-informed decisions for their future marketing endeavors. The data mart lays the groundwork for future extensions and integrations that can further enhance the ability to gain valuable marketing insights.
Studiengang: Business Information Technology (Bachelor)
Vertraulichkeit: vertraulich
Art der Arbeit
Bachelor Thesis
Auftraggebende
Schweizer Milchproduzenten SMP, Bern
Autorinnen und Autoren
Trupia, Salvatore
Betreuende Dozierende
Wilke, Gwendolin
Publikationsjahr
2023
Sprache der Arbeit
Englisch
Vertraulichkeit
vertraulich
Studiengang
Business Information Technology (Bachelor)
Standort Studiengang
Basel
Keywords
Data Warehouse, Data Mart, Business Intelligence, Data Engineering, Data Analysis, Power BI