How can you improve your FM resilience plan with data?

Where do you find the right data? Common sources include internal facility records, external data like weather forecasts, qualitative data in words or images, and quantitative data in numbers. However, the key is ensuring that the available solutions producing data (like BMS, room reservation systems, etc.) have functional APIs. Sadly, many claim to have APIs that aren't production-ready. In my field, I've seen three temp sensors on a wall because each feeds a different system. It's the perfect example of what not to do. The key is not just having data but ensuring it flows seamlessly through APIs to enhance FM resilience effectively. This requirement, for me, is crucial when deciding on your suppliers. The opportunity cost is huge.

Integrate Building Management Systems (BMS) for proactive monitoring, offering real-time insights into HVAC, lighting, plumbing and security. Analyse BMS data to discern trends and optimize energy consumption, employing predictive analytics to foresee potential issues. This, combined with diverse data sources like IoT sensors, historical incidents, weather forecasts, employee feedback, and supply chain data, forms a holistic approach. Blend structured and unstructured data for comprehensive resilience insights, ultimately enhancing facility efficiency and responsiveness.

Monitor,, measure, and improve your resilience performance over time. But where can you find the data you need, and what types of data are pertinent for a FM resilience plan? Common sources of data for FM resilience include internal data from your own facilities, such as asset inventories and maintenance records; external data from external sources such as weather forecasts and industry standards; qualitative data expressed in words or images; and quantitative data expressed in numbers. This data can help you understand the current state of your facilities, anticipate external influences, capture context and nuances, quantify risks and

Using historical facility performance data, records, and real-time sensor data allows for predictive analytics, to identify potential issues before they escalate. Integration of data from weather forecasts, geopolitical events, and supply chain data, enables proactive planning for external disruptions. Employee feedback, occupant satisfaction surveys, and space utilization data provide insights into optimizing workplace environments and ensuring adaptability. Working with vendors to collect equipment performance data further aids in preventive maintenance strategies. By using a diverse range of data sources and types, FM resilience plans can be more robust, adaptive, and data-driven, to improve overall FM service for unforeseen challenges.

Streamlined data collection and analysis are vital for fortifying FM resilience. Implement robust data collection methods, integrating IoT sensors, BMS, and real-time monitoring tools. Regularly update historical databases to enhance predictive capabilities. Employ advanced analytics to extract actionable insights, identifying patterns in equipment performance, energy consumption, and facility usage. This iterative analysis informs proactive decision-making, enabling timely interventions to prevent disruptions and optimize operational efficiency.

By collecting relevant data from various sources, including historical records, sensor data, and employee feedback, FMs can build a comprehensive dataset. Analyzing this data allows for the identification of patterns, trends, and potential vulnerabilities in facility operations. Predictive analytics, powered by historical and real-time data, aids in forecasting and mitigating potential risks, ensuring a proactive approach to resilience. The continuous monitoring and analysis of equipment performance data contribute to preventive maintenance strategies, reducing the likelihood of disruptions. So, by refining data collection and harnessing analytical tools, FM resilience plans become better equipped to handle unexpected challenges in FM.

Seamless data integration and alignment are crucial for robust FM resilience. Align various data sources, including BMS, IoT sensors, and historical records, fostering a cohesive information ecosystem. Ensure interoperability to break down data silos and enhance cross-functional collaboration. Align data structures for consistency, enabling efficient analysis. This integrated approach promotes a unified understanding of facility dynamics, facilitating proactive decision-making and strengthening overall resilience.

This entails bringing together diverse data sources relevant to facility operations, including maintenance records, sensor data, and external factors like weather forecasts. By aligning these datasets, FM professionals can gain a more holistic view of their facilities and potential risks. Integration also facilitates real-time data updates, allowing for agile responses to evolving situations. Aligning data with specific resilience objectives ensures that the collected information directly contributes to addressing identified vulnerabilities and enhancing overall preparedness. In essence, a well-integrated and aligned approach to data empowers FM resilience plans to be more adaptive, responsive, and effective in mitigating challenges.

Empower your resilience strategy with data-driven actions. Utilize real-time insights from IoT sensors, BMS, and diverse data sources to inform proactive decision-making. Implement predictive analytics to identify potential issues before they escalate, optimizing maintenance schedules and minimizing downtime. Leverage historical incident data for continuous improvement and adaptive planning. Foster a culture of data-driven decision-making, ensuring that resilience actions are not just reactive but strategically informed, enhancing overall facility preparedness and responsiveness.

Furthermore, think about establishing transparent communication protocols for the prompt sharing of insights. Introduce a feedback loop for ongoing refinement of data models and strategies. Place a strong emphasis on cybersecurity measures to protect sensitive facility data. Encourage staff training programs to elevate data literacy and extract maximum value from available insights. Regularly revisit and update resilience plans based on evolving data trends and emerging technologies. Embrace a forward-looking perspective by exploring novel data sources and technologies to anticipate potential challenges and consistently enhance FM resilience strategies.

Data is coming from devices or it is created manual, FM needs ensure it is being complied correctly and regularly, in advance FM structure data comes from BMS (Building Management system) Smart building, IOT and sensors deployed across the facility, However, not all FM structure are that advance but still FM can create system of getting daily data and make interactive dashboards for making resilience plan for FM.