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Analytics have been a popular topic in both research and practice, particularly in the energy field. The use of analytics can help advance Smart Grid reliability via, for example, elucidating a root cause of power failure, defining a solution for a blackout through data, or implementing the solution with continuous monitoring and management. This research, as guided by the Design Science Research methodology, attempts to unveil the novel use of location analytics in enhancing Smart Grid reliability. The research is organized as follows; 1) a systematic literature review of Smart Grid reliability research is presented, 2) a spatially enhanced analytical model for power outages is developed, and 3) a prototype of a Geographic Information System (GIS) application is developed to identify the optimal locations for Smart Grid interventions (e.g., automated distribution switches, batteries, etc.) considering the many operating parameters, various outage scenarios, and the potential benefits to the Smart Grid. A general discussion based on the findings of the research, limitations, and needs for future research is offered in the conclusion section.