Implementasi Data Warehouse dan Business Intelligence untuk Pemantauan dan Analisis Penjualan Game

This study aims to analyze the role of a data warehouse system in monitoring and analyzing game sales while providing technology-based solutions for strategic decision-making. The research employs a method of integrating data from various sources through extraction, transformation, and loading processes into a centralized data warehouse. Validated data is then visualized using business intelligence tools to create interactive dashboards displaying sales trends based on platforms, regions, and genres. The analysis techniques include identifying sales patterns, monitoring key performance indicators, and evaluating customer preferences. The findings reveal that integrating a data warehouse with dashboard-based visualization significantly supports decision-makers in identifying market opportunities, optimizing promotional strategies, and projecting future sales trends. This study contributes substantially to advancing digital transformation in the gaming industry by leveraging data-driven technologies to enhance competitive advantage

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Publication Details

Journal
TeknoIS Jurnal Ilmiah Teknologi Informasi dan Sains
Published
2025-02-22
DOI
https://doi.org/10.36350/jbs.v15i1.303
Primary Topic
Data Mining Algorithms and Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

Implementasi Data Warehouse dan Business Intelligence untuk Pemantauan dan Analisis Penjualan Game

Cahyono Budy Santoso, Rifaa Khairunnisa, Mutia Rachma, Seibah Humayyah
TeknoIS Jurnal Ilmiah Teknologi Informasi dan Sains
Data Mining Algorithms and Applications
article

Implementasi Data Warehouse dan Business Intelligence untuk Pemantauan dan Analisis Penjualan Game

Cahyono Budy Santoso, Rifaa Khairunnisa, Mutia Rachma, Seibah Humayyah
article en

Abstract

This study aims to analyze the role of a data warehouse system in monitoring and analyzing game sales while providing technology-based solutions for strategic decision-making. The research employs a method of integrating data from various sources through extraction, transformation, and loading processes into a centralized data warehouse. Validated data is then visualized using business intelligence tools to create interactive dashboards displaying sales trends based on platforms, regions, and genres. The analysis techniques include identifying sales patterns, monitoring key performance indicators, and evaluating customer preferences. The findings reveal that integrating a data warehouse with dashboard-based visualization significantly supports decision-makers in identifying market opportunities, optimizing promotional strategies, and projecting future sales trends. This study contributes substantially to advancing digital transformation in the gaming industry by leveraging data-driven technologies to enhance competitive advantage

TeknoIS Jurnal Ilmiah Teknologi Informasi dan SainsVol. 15(1)
Universitas Atma Jaya Makassar (ID)
Openalex Percentile: Top 88%
Data Mining Algorithms and Applications
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