In this latest extract from our ground-breaking Report ‘The Importance of Data in Facilities Management’ we address the training and development needs of Facilities Management (FM) professionals moving forward, highlighting how it is vital to align with the increasing digitalisation and data-centric approach within the industry.
Below are the key areas for growth and development:
1. Data Literacy and Analytics
The future of FM is heavily reliant on data-driven decision-making. FM professionals need training in:
- Data Interpretation and Analytics: Developing skills to extract actionable insights from raw data.
- Visualization Tools: Proficiency in platforms like Power BI for creating dashboards and presenting data effectively.
- Predictive Analytics: Understanding how to anticipate maintenance needs and optimize resource allocation through predictive models.
2. Technical Digital Skills
The use of advanced technologies and tools is indispensable in FM. Training must include:
- Smart Technologies and IoT: Understanding the operation and utility of IoT sensors for real-time monitoring of environmental factors like air quality and temperature.
- Building Management Systems (BMS): Advanced knowledge of BMS and its role in optimizing building performance.
- Cross-Platform Proficiency: Navigating diverse client systems to ensure seamless operations.
3. Cybersecurity and Risk Management
With digital transformation, cybersecurity becomes paramount. FM professionals must be equipped to:
- Mitigate Cybersecurity Risks: Understand digital threats and implement robust protection measures.
- Adhere to Evolving Regulations: Stay updated on data protection laws and ensure compliance.
- Balance Innovation and Risk: Innovate while maintaining strong safeguards against breaches.
4. Collaboration and Communication
As FM integrates with other disciplines, cross-functional collaboration is crucial:
- Building Relationships with Data Specialists: Enhance synergy between FM teams and IT/data experts to maximize technology use.
- Data Storytelling: Develop the ability to communicate complex data insights in an accessible and compelling manner to various stakeholders.
- Real-Time Communication: Use digital tools to ensure efficient information sharing.
5. Empowerment through Data
Training programmes should empower FM professionals to:
- Adopt a Data-Driven Mindset: Encourage confidence in leveraging data for operational and strategic decisions.
- Strategic Decision-Making: Equip them to provide data-driven recommendations to senior leadership, moving beyond traditional FM roles.
- Foster Innovation: Create opportunities to innovate and take ownership of data insights for operational improvements.
6. Adaptation to Future Technologies
The FM landscape will increasingly utilise artificial intelligence and automation. Training should prepare professionals to:
- Leverage AI: Understand AI’s role in anomaly detection, task automation, and resource management.
- Embrace Automation: Transition from manual processes to automated workflows, enhancing efficiency.
- Explore Augmented Reality (AR): Use AR tools for maintenance and task simulation to bridge knowledge gaps.
7. Data Management and Integrity
Effective data handling is critical for FM’s evolution:
- Upskilling in Digital Workflows: Train teams to engage with digital platforms for improved efficiency.
- Maintaining Data Integrity: Develop skills for evaluating and ensuring the quality of data inputs and outputs.
- Centralising Data Systems: Focus on integrating siloed systems to create a unified view of operations.
Investing in these areas will equip FM professionals to thrive in a rapidly changing, data-driven environment. This holistic approach ensures that FM teams not only keep pace with technological advancements but also contribute strategically to organisational success.
This roadmap encourages FM organisations to use data as a central asset, aligning operations with strategic objectives and preparing for an AI-enhanced future.
To access a free, full copy of the 64-page Report, please email research@wma-consultancy.co.uk
