Overbreak and underbreak factors have a major influence on the economic assessment and ground stability of underground mining operations. The overbreak, geometrically represented by the Equivalent Linear Overbreak Slough (ELOS), can be estimated by a combination of the stope's geomechanical characterisation (rock mass quality) and geometric information (dimension, shape, and position), according to Matthew's stability graph. However, the quality of this estimation is highly dependent on the accuracy and the level of detail of the input information used to perform the calculation. It also relies on the number of available samples to build and calibrate the graph for each site or specific region of the mine. This work proposes to use a spatial data management system to assist in the collection and storage of the information required to calculate the dilution factor and extend the use of the stored data to enhance the collaboration between teams of the technical services departments. The system can improve the processes by increasing productivity, guaranteeing that more analyses can be carried out in the same period by integrating the data collection and analysis into pre-existing routines. It can also provide greater reliability, by making the analyses auditable and reproducible, reducing the risk of human error. It can increase efficiency, by allowing more detailed analyses to be performed without significant additional effort. Collaboration is also increased by facilitating access and sharing the information within the different teams involved in planning the excavations, allowing filtering results by region, level, panel, support systems (cabled versus unsupported stopes) or any other relevant spatial reference available on the data set. Furthermore, since the data is continuously stored in a spatial system, it allows new information obtained in the future to be correlated with the historical data, to improve and anticipate the excavations' behaviour, according to operational and local conditions observed in the past by similarity.