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How Can Facilities Management Be Improved with Big Data

With intelligent analytics. By combining big data with analytics, data becomes manageable and can yield new insights to enhance and streamline facility systems.

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With the ever-growing amount of information produced by increasingly sophisticated building systems, big data can seem like a major headache. So how can facilities management be improved by big data? With intelligent analytics. By combining big data with analytics, data becomes manageable and can yield new insights to enhance and streamline facility systems.

How Can Facilities Management Be Improved With Big Data?

Big data is an essential part of managing commercial facilities’ energy consumption and building conditions. However, unorganized and unprioritized data generated by a complex network of components can be difficult to decipher. The sheer volume of data can compromise visibility into systems and obscure critical information. An intelligent analytics platform allows that data to become actionable and opens up opportunities for transforming facilities management by:

Making it easier to track efficiency, maintenance and operational business goals.

By using an intelligent analytics system created specifically for facilities managers, real-time, actionable insights can be used to optimize operations in prioritized performance areas.

Ensuring optimal equipment operation, effective sensor monitoring, and useful fault detection.

With data that points to system vulnerabilities, maintenance efforts can be efficiently directed to focus on only the devices that are reporting faults at any given time. You can also:

Creating a unified data model that is visible to building operators without having to go through proprietary system contractors.

By using a standardized naming and tagging ontology for normalizing data for the specific aspects of the system where data gathering is important, a clear view of the system's operation can be constructed. With a structured approach, an unorganized and overwhelming volume of data can be leveraged to create a centralized dashboard that provides important insights.

Optimizing and automating analytics.

Valuable capabilities can be gained by going beyond the display of centralized data. Using real-time equipment-specific rules based on pre-defined logic, systems can gain intelligent automation functions in addition to reporting valuable stakeholder information in a user-friendly way.

Providing mobile access and real-time, remote central dashboard insight.

This optimizes visibility of high-priority data and reduces the need for time-consuming site visits.

Leveraging a combination of big data and smart analytics, facilities managers can achieve energy and conservation goals, initiate preventative maintenance assurance, and provide greater assurance on future issues that may need to be addressed. Additionally, creating strategies for and tracking progress toward specific goals such as carbon neutrality, occupant comfort, and air quality becomes easier.

Case Study: University of Melbourne

The University of Melbourne in Australia serves as a striking example of how big data and intelligent analytics can improve facilities management.

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