Building Information Modelling-Enabled Data Integration and Visual Analytics for Facilities Management: A Systematic Review

Authors

Zarith Annisa Idris

Faculty of Engineering Technology, Universiti Tun Hussein Onn Malaysia (UTHM), Higher Education Hub, Pagoh, 84600 Johor (Malaysia)

Mariah Awang

Faculty of Engineering Technology, Universiti Tun Hussein Onn Malaysia (UTHM), Higher Education Hub, Pagoh, 84600 Johor (Malaysia)

Nuramidah Hamidon

Faculty of Engineering Technology, Universiti Tun Hussein Onn Malaysia (UTHM), Higher Education Hub, Pagoh, 84600 Johor (Malaysia)

Muhammad Haziq Fitri Hairul

IAQ Solutions Sdn. Bhd., No. 9, Jalan Sungai Jeluh 32/192, Kawasan Perindustrian Kemuning, Seksyen 32, 40460 Shah Alam, Selangor (Malaysia)

Mohd Shahril Abdul Rahman

Faculty of Built Environment and Surveying, Universiti Teknologi Malaysia, 81300 Skudai, Johor (Malaysia)

Zainab Toyin Jagun

Department of Real Estate, School of Built Environment, Engineering & Computing, Leeds Beckett University, City Campus, Leeds LS1 3HE (United Kingdom)

Article Information

DOI: 10.47772/IJRISS.2026.100700466

Subject Category: Management

Volume/Issue: 10/7 | Page No: 6857-6868

Publication Timeline

Submitted: 2026-07-20

Accepted: 2026-07-26

Published: 2026-08-04

Abstract

Building Information Modelling (BIM) is increasingly positioned as a digital information environment for facilities management (FM), asset management and operation and maintenance (O&M) decision-making. Its operational value, however, remains constrained by fragmented information exchange, incomplete asset information, inconsistent requirements, limited facility manager involvement and weak integration between BIM and FM systems. This paper presents a bounded, corpus-based systematic literature review of 51 documents covering BIM-FM integration, asset information delivery, Industry 4.0 technologies, digital twins and visual analytics. The starting repository was pre-assembled rather than generated through a new bibliographic database search. To improve methodological transparency, the review applies explicit eligibility criteria, a consolidated Boolean verification string, a documented corpus-selection process and qualitative thematic synthesis. Four themes emerged: interoperability and information exchange; asset information quality, data requirements and early FM involvement; BIM convergence with Industry 4.0 technologies and digital twin-enabled FM; and visual analytics, systems-centric modelling and fault diagnosis. The synthesis also distinguishes the implementation emphasis reported in developed-country and developing-country contexts. The paper contributes a provisional, literature-derived seven-stage framework for BIM-enabled data integration and visual analytics in FM. The framework has not yet been validated through practitioner or expert assessment and is therefore presented as a testable conceptual proposition rather than an implementation-ready model. The findings are intended to support bounded theoretical synthesis and future empirical validation, not statistical generalisation across the entire BIM-FM domain.

Keywords

Building Information Modelling; Facilities Management; Asset Management; Digital Twin

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References

1. Becerik-Gerber, B., Jazizadeh, F., Li, N., & Calis, G. (2012). Application areas and data requirements for BIM-enabled facilities management. Journal of Construction Engineering and Management, 138(3), 431-442. [Google Scholar] [Crossref]

2. Pärn, E. A., Edwards, D. J., & Sing, M. C. P. (2017). The building information modelling trajectory in facilities management: A review. Automation in Construction, 75, 45-55. https://doi.org/10.1016/j.autcon.2016.12.003 [Google Scholar] [Crossref]

3. Matarneh, S. T., Danso-Amoako, M., Al-Bizri, S., Gaterell, M., & Matarneh, R. (2019). Building information modeling for facilities management: A literature review and future research directions. Journal of Building Engineering, 24, 100755. https://doi.org/10.1016/j.jobe.2019.100755 [Google Scholar] [Crossref]

4. Dixit, M. K., Venkatraj, V., Ostadalimakhmalbaf, M., Pariafsai, F., & Lavy, S. (2019). Integration of facility management and building information modeling: A review of key issues and challenges. Facilities, 37(7/8), 455-483. [Google Scholar] [Crossref]

5. Matarneh, S. T., Danso-Amoako, M., Al-Bizri, S., Gaterell, M., & Matarneh, R. T. (2020). Developing information requirements to support facilities management systems. Facilities, 38(5/6), 378-394. https://doi.org/10.1108/F-07-2018-0084 [Google Scholar] [Crossref]

6. Farghaly, K., Abanda, F. H., Vidalakis, C., & Wood, G. (2018). Taxonomy for BIM and asset management semantic interoperability. Journal of Management in Engineering, 34(4), 04018012. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000610 [Google Scholar] [Crossref]

7. Pishdad-Bozorgi, P., Gao, X., Eastman, C., & Self, A. P. (2018). Planning and developing facility management-enabled building information model. Automation in Construction, 87, 22-38. https://doi.org/10.1016/j.autcon.2017.12.004 [Google Scholar] [Crossref]

8. Tsay, G. S., Staub-French, S., & Poirier, É. (2022). BIM for facilities management: An investigation into the asset information delivery process and the associated challenges. Applied Sciences, 12(19), 9542. https://doi.org/10.3390/app12199542 [Google Scholar] [Crossref]

9. Tsay, G. S., Staub-French, S., Poirier, É., Zadeh, P., & Pottinger, R. (2023). BIM for FM: Understanding information quality issues in terms of compliance with owner’s building information modeling requirements. Frontiers in Built Environment, 9, 1117066. https://doi.org/10.3389/fbuil.2023.1117066 [Google Scholar] [Crossref]

10. Kim, S., Poirier, E. A., & Staub-French, S. (2020). Information commissioning: Bridging the gap between digital and physical built assets. Journal of Facilities Management, 18(3), 231-245. https://doi.org/10.1108/JFM-04-2020-0024 [Google Scholar] [Crossref]

11. Artan, D., Ergen, E., Kula, B., & Guven, G. (2022). RateWorkSpace: BIM integrated post-occupancy evaluation system for office buildings. Journal of Information Technology in Construction, 27, 441-485. https://doi.org/10.36680/j.itcon.2022.022 [Google Scholar] [Crossref]

12. Artan, D., Tekce, I., Yilmaz, N., & Ergen, E. (2024). The contextual information requirements for collection and use of occupant feedback in BIM-enabled FM. Facilities, 42(3/4), 321-341. https://doi.org/10.1108/F-03-2023-0028 [Google Scholar] [Crossref]

13. Tang, S., Shelden, D. R., Eastman, C. M., Pishdad-Bozorgi, P., & Gao, X. (2019). A review of building information modeling and the Internet of Things devices integration: Present status and future trends. Automation in Construction, 101, 127-139. https://doi.org/10.1016/j.autcon.2019.01.020 [Google Scholar] [Crossref]

14. Altohami, A. B. A., Haron, N. A., Ales@Alias, A. H., & Law, T. H. (2021). Investigating approaches of integrating BIM, IoT, and facility management for renovating existing buildings: A review. Sustainability, 13(7), 3930. https://doi.org/10.3390/su13073930 [Google Scholar] [Crossref]

15. Pan, Y., & Zhang, L. (2021). A BIM-data mining integrated digital twin framework for advanced project management. Automation in Construction, 124, 103564. https://doi.org/10.1016/j.autcon.2021.103564 [Google Scholar] [Crossref]

16. Hakimi, O., Liu, H., & Abudayyeh, O. (2024). Digital twin-enabled smart facility management: A bibliometric review. Frontiers of Engineering Management. [Google Scholar] [Crossref]

17. Roxin, A., Abdou, W., & Derigent, W. (2022). Interoperable digital building twins through communicating materials and semantic BIM. SN Computer Science, 3, 23. https://doi.org/10.1007/s42979-021-00860-w [Google Scholar] [Crossref]

18. Sobhkhiz, S. (2023). Dynamic integration of textual data in digital twins using concept networks and machine learning. Doctoral thesis, University of Toronto. [Google Scholar] [Crossref]

19. Lee, J. Y., Irisboev, I. O., & Ryu, Y. S. (2021). Literature review on digitalization in facilities management and facilities management performance measurement: Contribution of Industry 4.0 in the global era. Sustainability, 13(23), 13432. https://doi.org/10.3390/su132313432 [Google Scholar] [Crossref]

20. Nota, G., Peluso, D., & Toro Lazo, A. (2021). The contribution of Industry 4.0 technologies to facility management. Journal of Facilities Management. [Google Scholar] [Crossref]

21. Palmarini, R., Erkoyuncu, J. A., Roy, R., & Torabmostaedi, H. (2018). A systematic review of augmented reality applications in maintenance. Robotics and Computer-Integrated Manufacturing, 49, 215-228. https://doi.org/10.1016/j.rcim.2017.06.002 [Google Scholar] [Crossref]

22. Ahmed, V., Tezel, A., Aziz, Z., & Sibley, M. (2017). The future of Big Data in facilities management: Opportunities and challenges. Facilities, 35(13/14), 725-745. [Google Scholar] [Crossref]

23. Ali, S. M., Gupta, N., Nayak, G. K., & Lenka, R. K. (2016). Big data visualization: Tools and challenges. 2016 2nd International Conference on Contemporary Computing and Informatics. https://doi.org/10.1109/IC3I.2016.7918044 [Google Scholar] [Crossref]

24. Khan, R. A., & Quadri, S. M. K. (2012). Business intelligence: An integrated approach. Business Intelligence Journal, 5(1), 64-70. [Google Scholar] [Crossref]

25. Omoyiola, B. O. (2022). The social implications, risks, challenges and opportunities of big data. Emerald Open Research, 4, 23. https://doi.org/10.35241/emeraldopenres.14646.1 [Google Scholar] [Crossref]

26. Motamedi, A., Hammad, A., & Asen, Y. (2014). Knowledge-assisted BIM-based visual analytics for failure root cause detection in facilities management. Automation in Construction. https://doi.org/10.1016/j.autcon.2014.03.012 [Google Scholar] [Crossref]

27. Ensafi, M., Harode, A., & Thabet, W. (2022). Developing systems-centric as-built BIMs to support facility emergency management: A case study approach. Automation in Construction, 133, 104003. https://doi.org/10.1016/j.autcon.2021.104003 [Google Scholar] [Crossref]

28. Evans, G., Heesom, D., & Oloke, D. (2021). Configuring BIM models to support a systems-driven visualisation approach. IOP Conference Series: Materials Science and Engineering, 1218, 012026. https://doi.org/10.1088/1757-899X/1218/1/012026 [Google Scholar] [Crossref]

29. Foster, J. D. (2022). Using naming conventions to facilitate data transfer between asset management systems and building information models. Master thesis, Rowan University. [Google Scholar] [Crossref]

30. Fang, Z., Liu, Y., Lu,Q., Pitt, M., Hanna, S., & Tian, Z. (2022). BIM-integrated portfolio-based strategic asset data quality management. Automation in Construction, 134, 104070. https://doi.org/10.1016/j.autcon.2021.104070 [Google Scholar] [Crossref]

31. Chen, W. (2019). Integration of Building Information Modeling and Internet of Things for facility maintenance management. Doctoral dissertation, Hong Kong University of Science and Technology. [Google Scholar] [Crossref]

32. Chen, W., Chen, K., Cheng, J. C. P., Wang, Q., & Gan, V. J. L. (2018). BIM-based framework for automatic scheduling of facility maintenance work orders. Automation in Construction, 91, 15-30. https://doi.org/10.1016/j.autcon.2018.03.007 [Google Scholar] [Crossref]

33. Wetzel, E. M., & Thabet, W. Y. (2015). The use of a BIM-based framework to support safe facility management processes. Automation in Construction, 60, 12-24. [Google Scholar] [Crossref]

34. Abideen, D. K., Yunusa-Kaltungo, A., Manu, P., & Cheung, C. (2022). A systematic review of the extent to which BIM is integrated into operation and maintenance. Sustainability, 14(14), 8692. https://doi.org/10.3390/su14148692 [Google Scholar] [Crossref]

35. Chang, J. Y., Merino-Garcia, J., Xie, X., Moretti, N., & Parlikad, A. (2022). Information quality for effective asset management: A literature review. IFAC-PapersOnLine, 55(19), 235-240. https://doi.org/10.1016/j.ifacol.2022.09.213 [Google Scholar] [Crossref]

36. Ismaeil, E. M. H. (2024). Asset information model management-based GIS/BIM integration in facility management contract. Sustainability, 16(6), 2495. https://doi.org/10.3390/su16062495 [Google Scholar] [Crossref]

37. Ismaeel, W. S. E., & Lotfy, R. A. E. (2023). An integrated building information modelling-based environmental impact assessment framework. Clean Technologies and Environmental Policy, 25, 1291-1307. https://doi.org/10.1007/s10098-022-02443-6 [Google Scholar] [Crossref]

38. Santos, R., Costa, A. A., Silvestre, J. D., & Pyl, L. (2020). BIM-based life cycle assessment and life cycle costing of an office building in Western Europe. Building and Environment, 169, 106568. https://doi.org/10.1016/j.buildenv.2019.106568 [Google Scholar] [Crossref]

39. Jamil, A. H. A., & Fathi, M. S. (2020). Enhancing BIM-based information interoperability: Dispute resolution from legal and contractual perspectives. Journal of Construction Engineering and Management. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001868 [Google Scholar] [Crossref]

40. Lovreglio, R., Thompson, P., & Feng, Z. (2021). Automation in fire safety engineering using BIM and generative design. Fire Technology. https://doi.org/10.1007/s10694-021-01153-7 [Google Scholar] [Crossref]

41. Malagnino, A., Mangialardi, G., Corallo, A., & Lazoi, M. (2022). The digital transformation in fire safety engineering over the past decade through building information modelling: A review. Fire Technology. https://doi.org/10.1007/s10694-022-01313-3 [Google Scholar] [Crossref]

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