Data Quality Assessment of a Utility Company’s Geographic Information System
摘要
In the rapidly evolving landscape of digital transformation, the reliability of systems and databases hinges crucially on effective data quality assessment. Whether derived from simple SQL queries or complex machine learning models, the decisions made based on this data greatly depend on its quality. GIS, or geographic information systems, are a case in point: they enable the gathering, storage, analysis, and visualization of geographic data. GIS serves as a crucial tool for informed decision-making in a range of industries where decisions are based on geographic information, from urban planning and agriculture to logistics and emergency response. This paper delves into a real-world examination of data quality assessment within the geographic information system of a Moroccan utility company, Redal, offering insights and practical recommendations for enhancement.