Effective data management is essential in FM to enhance operational efficiency, optimise resource utilisation and ensure compliance.
Based on insights from our ground-breaking Report ‘The Importance of Data in Facilities Management’ there are several key training areas are critical to improving data handling and utilisation:-
1. Understanding Data Governance and Compliance
Training should focus on:
- Adhering to industry regulations and data protection laws (e.g. GDPR, ISO 55000 for asset management).
- Establishing clear data ownership and responsibility within FM teams.
- Implementing data governance policies to ensure accuracy, integrity and security.
2. Data Collection and Standardisation
To ensure consistency and reliability in data handling, FM professionals need training in:
- Effective data collection methods using sensors, IoT devices and manual entry.
- Standardising data input formats to minimise discrepancies.
- Utilising structured and unstructured data sources effectively.
3. Utilising FM Software and Digital Platforms
Facilities Managers increasingly rely on digital solutions. Training should cover:
- Use of Computer-Aided Facility Management (CAFM) and Computerized Maintenance Management Systems (CMMS).
- Integration of data from multiple sources, such as IoT systems and Building Information Modelling (BIM).
- Cloud-based data storage solutions and real-time access to FM data.
4. Data Analytics and Performance Monitoring
To make informed decisions, FM teams should be trained in:
- Using data analytics tools to track key performance indicators (KPIs).
- Predictive maintenance strategies based on historical data trends.
- Identifying inefficiencies in energy consumption, asset utilisation and space management.
5. Cybersecurity and Data Protection
Given the increasing digitisation of FM operations, training in cybersecurity is crucial, covering:
- Best practices for data encryption, access control and secure storage.
- Identifying and mitigating cybersecurity threats in FM systems.
- Compliance with industry standards for data security.
6. Automation and Artificial Intelligence (AI) in FM
Training in emerging technologies can help FM teams leverage automation, including:
- Understanding AI-driven data analytics for asset management and fault detection.
- Implementing automated reporting and workflow management.
- Using digital twins and IoT-driven insights for real-time decision-making.
7. Data Visualisation and Reporting
Presenting data effectively is key for decision-making. Training should focus on:
- Creating user-friendly dashboards and reports.
- Using visualisation tools such as Power BI and Tableau.
- Interpreting complex data sets for actionable insights.
8. Change Management and Continuous Learning
Since FM data management is evolving, ongoing training should include:
- Managing digital transformation within FM teams.
- Encouraging a data-driven culture across departments.
- Continuous learning through workshops, certifications and knowledge-sharing platforms.
In Conclusion
By addressing these training needs, FM professionals can better manage data, drive efficiency and enhance overall facility performance. Investing in these competencies will ensure that FM teams remain equipped to handle the growing complexities of data-driven decision-making.
To access a free, full copy of this comprehensive Report, please email us at research@wma-consultancy.co.uk
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