Page 22 - CIJ Jan 2025 - Digital edition

COVER STORY

How can big data help improve facility management
decisions?

Analysis 5. Predictive maintenance uses data
patterns from sensors to pre-empt
A commanding majority (68.27%) equipment failures, reducing downtime.
recognized that big data enhances
decision-making in all the listed ways, 6. Transitioning from manual to digital
including: data collection aids in optimising
resource utilisation and identifying
• Predictive maintenance for cost savings operational anomalies.
and minimized downtime. 7. Predictive models streamline
• Energy efficiency through data-driven maintenance scheduling and resource
optimization of HVAC and lighting. allocation.
• Space utilization analysis to maximize 8. Predictive maintenance is fundamental
efficiency. as it encompasses other aspects like
• Real-time monitoring to maintain safety energy efficiency and space utilisation.
and comfort. 9. Comprehensive data analysis helps
integrate activities like cleaning, energy
Experts & Audience efficiency, and space utilisation into
1. Predictive maintenance influences predictive maintenance frameworks.
energy efficiency and resource 10. Space utilisation is subjective and
utilisation. context-dependent (e.g., hotels
2. A holistic approach (“all of the above”) optimising laundry facilities).
is vital for effective facility management 11. Predictive maintenance acts as the
decisions. foundation for planning energy
3. Big Data supports budget planning by efficiency, real-time monitoring, and
forecasting capital expenditure (capex) other facility decisions.
requirements based on predictive 12. Consensus: Predictive maintenance is
analytics. the cornerstone of facility management
4. Big Data enables real-time decision- improvements, influencing energy
making by leveraging data from multiple efficiency, space utilisation, and real-
sources to improve facility operations. time monitoring.

22 JANUARY 2025•Clean India Journal•www.cleanindiajournal.com