The application of BIM and data analytics in facility management is an area of growing interest and research. The ability to mine data from occupant complaints in real-time and visualize this at the building and building cluster scale provides new opportunities for facility managers to more effectively respond to occupant complaints and optimize the performance of the building. A project is currently underway at Ryerson University in collaboration with the facility management team to mine data from work orders and develop a comprehensive visualization strategy for FM-BIM integration. This paper presents the development of mapping and data visualization strategies to support the identification of priority areas and extraction of key occupant satisfaction trends. Key visualizations and BIM integration protocols from the campus deployment are presented and discussed to identify applicability of this data to support post-occupancy evaluation, limitations, and opportunities for further expansion and refinement.