The development of interactive analysis dashboards with georeferenced information derived from large volumes of data poses a significant challenge due to the lack of studies that establish a unified strategy for designing effective and functional dashboards. This limitation slows the development of analytical dashboards that require specific features, different from those offered by most tools available on the market. The objective of this study is to develop a procedure for implementing georeferenced analysis dashboards by identifying critical factors and the sequence in which they should be applied. Through a scoping review of the literature and subsequent content analysis, common patterns and recurring approaches in the design of georeferenced analysis dashboards were identified, providing insights aimed at systematizing the development process of these tools. As a result, the study presents a catalog of factors influencing the design and development of the foundational structure of georeferenced analysis dashboards, along with a procedure for their effective implementation. The primary contribution of this research is to provide a framework for the creation of georeferenced dashboards that support decision-making, offering development teams a catalog of key factors and an implementation sequence that facilitates the effective design of these tools, enabling the eventual automation of the process through artificial intelligence.