Proper maintenance and repair are crucial for ensuring the longevity and safety of high-rise buildings. Traditional approaches often force homeowners into a reactive maintenance strategy, leading to high repair costs and lengthy downtimes. This chapter explores how maintenance and repair scheduling in high-rise management can be revolutionized using spatial data drivers. Using Geographic Information Systems (GIS), maintenance managers can switch from reactive to proactive strategies. We explore descriptive and prescriptive spatial analysis techniques to identify maintenance hotspots and predict repair needs. Through case studies, we illustrate how downtime can be significantly reduced while extending the useful life of structural building systems. The discussion underscores valuable insights on using spatial data to enhance high-rise multi-residential building maintenance strategies, ensuring sustainable operations. Additionally, we explore emerging trends and tools poised to influence future maintenance strategies, including advances in artificial intelligence and machine learning. Ultimately, this chapter aims to provide an integrated guide for property managers and city planners to deploy systematized spatial data technologies for maintenance in a multi-residential high-rise environment, leading to improved efficiency and resident well-being.