Today’s facility managers find themselves in the midst of many challenges, including regulatory and compliance hurdles, resource scarcity, and burnout.
Resource constraints, for example, which affect time management, materials delivery, and budget planning, pose major obstacles, all the while demanding highly prudent allocation without operational efficiency taking a hit.
At the same time, dealing with workforce shortages is the last thing any facility manager wants as it can put a heavy strain on day-to-day building operations.
Here’s why more facility managers now expect integrations with disruptive technologies to succeed and deliver better value to their clients:
Facility management mobile apps have gained widespread acceptance and adoption in recent years, allowing facility managers and property owners to manage practically everything on the go – from scheduled inspection and maintenance tasks, to planning repairs, renewing tenant contracts, and providing real-time reports to stakeholders.
Access control systems and security systems have become an essential in facilities management technology. These systems have proven to be very useful in safeguarding properties and their respective occupants via controlling access to specific areas throughout the building.
Access control systems may range from simple digital key card systems to more advanced biometric systems through mobile apps which integrate facial recognition or fingerprints (or both).
Security systems such as CCTV cameras can prevent unauthorised access and deter criminal activity, where the live feed can be easily viewed, recorded, and recalled on a mobile device via a specialised piece of software.
Predictive maintenance generates historical and real-time data from building equipment, sensors, usage, and systems to provide a model for asset failure before that failure even occurs. The more data the model has, the more accurate the estimates of potential failure will be.
When IoT (Internet of Things) sensor data is connected with a facilities management software or platform, the latter can automatically create a work order and dispatch it to the nearest service provider or repair facility for follow up.
Predictive maintenance is now heavily being used in property and real estate, much more so than a few years ago, helping to keep operations running without hiccups and reducing the impact any downtime may have on revenues, tenant satisfaction, property value, etc.
Modern, forward-thinking facility managers now also expect their CMMS (computer maintenance management system) to be integrated with data management software, financial software, and BI (business intelligence) systems, as well as energy management systems and larger PropTech platforms such as CRM (customer relationship management) and ERP (enterprise resource planning).
The current technology which the average facilities manager has at their disposal is staggering to say the least – technology that’s capable of identifying undesirable or adverse conditions in a building which were previously undetectable for the most part – such as early-detection wear and tear, equipment failure, energy waste, etc.
In this day and age, the role of the property manager has gotten ever more complex and demanding. TIM (The Inspection Manager) brings together the best software-based technologies to help facility and property managers do their jobs more efficiently and in a more compliant way.
Technology is rapidly expanding into all spheres of life, and this is especially true of industries. In the property management sector, for instance, one is surrounded by disruptive technology which is improving ‘quality of life’ for not only property and facility managers but also tenants.
The property and real estate sector has traditionally been associated with stacks of paperwork, manual documentation, and physical blueprints. However, all that is changing quickly as the idea of paperless building operations is steadily gaining momentum.
If we go back a few years, the property management sector was a bit slow to adopt new changes, especially those revolving around technology and automation. But in the present day, it has taken a dramatic step forward.
In a 2021 survey where 2,000 UK adults were surveyed who had rented a home over the last 5 years – 66% of them had experienced some kind of disrepair issue, while 26% of Housing Association Properties tenants were not happy with the quality of repair and maintenance during their stay.
Everyone wants nothing more than to have secure, safe, and decent housing. Unfortunately, the housing supply in the UK has been unable to keep up with the surge in demand over the last couple of years. This has made accessing housing of any kind rather difficult for individuals and families alike, especially those from low-income households.
Tenant experience is an important metric to understand when it comes to property and facilities management – it describes how your tenants interact with the properties they live in. The quality of these interactions along with the amenities you offer can have a major impact on your ROI.
If you recall the government’s 2019 election manifestos, all the main parties committed to boost housing supply in England. The Conservative manifesto, in fact, pledged that the number of homes being built will continue to increase, targeting at least 300,000 affordable homes by the middle of 2020.
The property management industry has been traditionally shy and somewhat hesitant to embrace new technological trends. The word “automation” would make everyone from real estate agents to property managers cringe with disapproval – as if impending doom and job insecurity was right around the corner.
Data standardisation refers to using consistent methods for collecting data, although this is a very basic and somewhat generic description of what it truly is. If we delve in deeper, data standardisation is the process used for transforming data to fit a constrained and predefined set of values – ultimately, relying on uniformity to improve efficiencies.
Data standardisation refers to using consistent methods for collecting data, although this is a very basic and somewhat generic description of what it truly is. If we delve in deeper, data standardisation is the process used for transforming data to fit a constrained and predefined set of values – ultimately, relying on uniformity to improve efficiencies.
