Abstract
Nowadays, every company knows that when making a decision that has a potential in affecting their assets, an accurately processed report is necessary in order to support the reasoning behind their decision. Generating a report for stakeholders quickly and accurately is highly required in assisting them making a data-driven decision. By developing a data warehouse, it is possible for a company to do a data-driven decision making to appeal to their customer segments. This paper proposes a data warehouse model design to analyse the sales data contained in the database. The method that was implemented for this particular data warehouse development is the nine-step methodology designed by Kimball. The results are then presented in pdf form and an interactive dashboard.
Cite
CITATION STYLE
Ranti, K. S., Tuapattinaya, D., Chang, C., & Girsang, A. S. (2020). Data warehouse for analysing music sales on a digital media store. In Journal of Physics: Conference Series (Vol. 1477). Institute of Physics Publishing. https://doi.org/10.1088/1742-6596/1477/3/032013
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