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.
Salvatore Trupia, 2023
Bachelor Thesis, Schweizer Milchproduzenten SMP
Betreuende Dozierende: Gwendolin Wilke
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)
Fachbereich der Arbeit:
Vertraulichkeit: vertraulich