Effective Facilities Management increasingly relies on data integration and system interoperability to enhance decision-making. With FM operations spanning multiple disciplines such as asset management, maintenance, energy efficiency and security – consolidating data from various sources is crucial.
Fragmented systems create inefficiencies, while integrated data enables real-time monitoring, predictive maintenance and improved resource allocation.
Here are our recommendations, from our thought-leading Report ‘The Importance of Data in Facilities Management’:-
1. Implement a Unified Data Platform
FM teams should move towards a centralised data platform that consolidates inputs from Building Management Systems (BMS), Computer-Aided Facilities Management (CAFM) software, IoT sensors and Enterprise Resource Planning (ERP) tools.
This unified platform acts as a “single source of truth” reducing data fragmentation and improving accuracy. Cloud-based solutions and digital twins further enhance visibility by offering real-time access to operational insights.
2. Standardise Data Governance and Formats
One of the key challenges in FM is the lack of standardisation across different data sources. Establishing clear data governance policies, including naming conventions, metadata structures and data validation protocols, ensures consistency.
Standardising data formats (e.g., XML, JSON) allows different systems to communicate efficiently, facilitating seamless integration.
3. Leverage APIs for Interoperability
Application Programming Interfaces (APIs) play a vital role in bridging the gap between disparate FM systems. APIs enable real-time data exchange between legacy systems and modern analytics tools, improving interoperability without the need for complete system replacements.
Additionally, APIs allow FM teams to integrate new technologies such as AI-driven analytics and predictive maintenance software.
4. Adopt IoT and Smart Technologies
The integration of IoT sensors within FM infrastructure provides real-time insights into equipment performance, occupancy trends and environmental conditions. Smart sensors can feed data into central platforms, enabling automation and improving energy efficiency.
FM teams should ensure IoT solutions adhere to standard communication protocols (e.g., MQTT, BACnet, Zigbee) for smooth integration.
5. Strengthen Cybersecurity and Compliance
As FM becomes more data-driven, cybersecurity risks increase. Ensuring secure data exchange requires implementing encryption, access controls and compliance with data protection regulations such as GDPR.
Regular security audits and employee training mitigate risks associated with cyber threats and unauthorised data access.
6. Enhance Data Interpretation and Communication
Beyond technical integration, FM teams must develop data literacy. Training in tools like Power BI or Tableau can help professionals interpret complex datasets and present actionable insights.
Strong collaboration between FM teams and data specialists ensures that insights drive informed decision-making rather than being siloed in technical reports.
7. Move Towards Predictive and AI-Driven Decision-Making
Leveraging AI and predictive analytics can transform FM from reactive to proactive management. AI-powered tools can analyse historical trends and sensor data to forecast equipment failures, optimise energy consumption, and improve space utilisation. Integrating AI into FM decision-making processes enhances efficiency and cost-effectiveness.
Conclusion
By prioritising these strategies, FM professionals can break down data silos, improve interoperability, and drive smarter decision-making, ultimately leading to more efficient and future-ready operations.
To access a free, full copy of the 64-page Report, please email us at research@wma-consultancy.co.uk