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Data Mart of Climate Changes: a Proposed Approach to Support Sustainable Decision-Making Alaa Khalaf Hamoud; Abdul-Haleem Ali Al Muhyi; Sadiq Salim Abdullah; Jasim Mohammed Dahr
International Journal of Informatics, Information System and Computer Engineering (INJIISCOM) Vol. 7 No. 1 (2026): INJIISCOM: VOLUME 7, ISSUE 1, JUNE 2026 (ONLINE FIRST)
Publisher : Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/injiiscom.v7i1.14878

Abstract

The growing focus on climate change requires effective data-driven decision-making to promote sustainability. This study proposes a data mart framework to manage and analyze climate datasets from a station in Basrah, Iraq. The model aims to support sustainable decisions by examining factors like temperature, solar radiation, rainfall, wind direction, humidity, and wind speeds at various altitudes. A star schema facilitates online analytical processing (OLAP) and future advanced analytics. Power BI is utilized for data visualization, providing actionable insights to stakeholders via real-time indicators and customizable dashboards. This framework aids short-term decision-making regarding climate impacts, with future work incorporating machine learning for predictive pattern forecasting.