###### Abstract  
The use of digital technologies such as Internet of Things (IoT) and smart meters induces a huge data stack in facility management (FM). However, the use of data analysis techniques has remained limited to converting available data into information within activities performed in FM. In this context, business intelligence and analytics (BI&A) techniques can provide a promising opportunity to elaborate facility performance and discover measurable new FM key performance indicators (KPIs) since existing KPIs are too crude to discover actual performance of facilities. Beside this, there is no comprehensive study that covers BI&A activities and their importance level for healthcare FM. Therefore, this study aims to identify healthcare FM KPIs and their importance levels for the Turkish healthcare FM industry with the use of the AHP integrated PROMETHEE method. As a result of the study, ninety-eight healthcare FM KPIs, which are categorized under six categories, were found. The comparison of the findings with the literature review showed that there are some similarities and differences between countries' FM healthcare ranks. Within this context, differences between countries can be related to the consideration of limited FM KPIs in the existing studies. Therefore, the proposed FM KPIs under this study are very comprehensive and detailed to measure and discover healthcare FM performance. This study can help professionals perform more detailed building performance analyses in FM. Additionally, findings from this study will pave the way for new developments in FM software and effective use of available data to enable lean FM processes in healthcare facilities. f _applied_  
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16% more energy is consumed by buildings when compared with design data [9]. Irregular or poor maintenance activities induce more energy consumption (30%) in commercial buildings [10]. In FM, fault detection and diagnostics (FDD), which includes data mining usage, can enable 5-30% energy savings [9]. To eliminate high expenditures, technical inspections can be performed in facilities. However, the technical inspections are not comprehensive in identifying the real condition of assets and minor faults, which causes more severe problems in the ongoing processes. [PERSON] and [PERSON] [11] explicitly stated that the wrong decision given by service providers in the FM industry induced thinning margins. Therefore, the use of available data from computerized maintenance systems (CMMS), electronic document management systems (EDMS), energy management systems (EMS), energy management control systems (EMCS), building information modeling (BIM), and building automation systems (BAS) is crucial to perform preventive actions in facilities [9; 12; 13; 14]. For example, BAS records raw data from the building environment at a short time (30 s or 1 min) [15]. Researchers believe that the use of these systems would increase efficiency; decrease the issues confronted such as energy management, FDD, and control optimization; and eliminate personal judgement in the built environment [15; 16]. Available data can be used to evaluate and improve facility performance [13; 17]. Mechanical, electrical, and plumbing (MEP) systems also have approximately 40% proportion of total construction costs. In addition to this, prices of maintenance activities of built MEP systems consist of 60% of maintenance costs [18]. FDD systems present an excellent opportunity to find out FM issues. However, FDD has a lack of capability in terms of functional and behavioral interaction between systems, user comfort, and components [9]. [PERSON] et al. [9] stated that the interconnected complexity and sheer volume from the operation and maintenance stage induce an overwhelming decision-making process. Therefore, the usage of data analytic activities in the operation and maintenance stage is essential to eliminate severe impacts on costs and ensure safety of building services. [PERSON] and [PERSON] [19] stated that FM consists of complex operations and activities.