Strategic Resource Allocation in Facilities Management

As the old saying goes, “Time is money,” and nowhere is this truer than in FM resource allocation. Here, time is money, staff is money, assets are money, and well, money is money.  

But how can you ensure you’re allocating your (often very tight) resources to where they will have the greatest impact?

The answer lies in harnessing the power of advanced data analytics (even if you don’t have access to an in-house data department) to turn your data into Insights, insights into actions, and those actions into real world impact!

Picture this: you’re a facilities manager juggling staff rotas, equipment maintenance, cleaning schedules and HVAC challenges, all against the backdrop of increasing budget constraints. You’ve got a building full of assets that need attention, but limited resources to go around (don’t we all…) 

How do you ensure you’re deploying the right resources at the right time to keep everything shipshape? 

Traditional methods of resource allocation often feel like throwing darts in the dark. You might hit the bullseye occasionally, but too often, you’re left with inefficiencies and missed opportunities. 

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Data-Driven Approach to Resource Allocation

Gone are the days of relying on gut feelings and ‘educated’ guesses. Today’s best resource allocation decisions are powered by cold, hard data (well, knowledgable leaders with access to said data).

According to a recent study by McKinsey, companies that use advanced analytics for decision-making are 23% more likely to outperform their competitors in terms of productivity and profitability. 

So, what’s the secret sauce?

It’s all about leveraging the treasure trove of data that’s already in your business. Your existing systems are brimming with valuable information, but they often fall short when it comes to providing the visibility you need to make a real impact.

That’s where advanced data analytics comes in, changing the game by delivering actionable insights that can revolutionise your resource management across the board. 

Let’s break down the different types of resources that can benefit from a strategic, data-driven approach: 

Staff Allocation

Strategically allocating staff is essential to maintaining high levels of productivity and ensuring that the right expertise is available where and when it’s needed.

Advanced analytics platforms, when implemented well, can assess factors like employee skill sets, workloads, and even individual performance data to provide insights and even dynamically allocate staff to tasks or projects in real-time. 

For example, in a facilities management context, data from work order management systems, maintenance schedules, and shift patterns can be integrated into a single platform providing managers with a holistic view of staff resources.

These insights allow for smarter staff allocation, leading to reduced downtime, more efficient task completion, and ultimately, improved service delivery.  

Analytics in Action

Improving energy use in hundreds of commercial buildings

Enhanced visibility and control over your operations – empowering management to effectively optimise their human resources and significantly cut costs.

Budget Allocation

Financial resources are perhaps the most critical assets to allocate effectively. Poor budget allocation can result in overspending in some areas, while other parts of the organisation suffer from underfunding.

With the insights provided by great analyitcs, organisations can:  

Data-driven budget allocation enables decision-makers to visualise spending patterns and predict future costs with a higher degree of accuracy. According to research, companies using analytics for budget allocation saw up to a 20% increase in ROI across their projects. 

Tasks Allocation

Tasks allocation is a significant part of facilities management, where multiple teams are often responsible for a variety of tasks ranging from routine maintenance to emergency repairs. 

The right insights allow managers to:

Analytics platforms can also predict which tasks will likely require additional resources, helping to avoid future issues before they escalate. 

Physical Assets Allocation

In the built environment, effective management of physical assets is crucial.

Analytics and the subsequent insights can provide visibility into asset usage patterns, enabling facilities managers to determine when equipment needs maintenance, when to replace assets, and how to optimise asset usage across different sites.

This level of visibility not only reduces downtime but also extends the life of valuable assets. 

Space Allocation

Space optimisation in large buildings is another area where data analytics can make a significant impact. By analysing occupancy data, companies can optimise the use of available space, reduce operational costs, and create more efficient layouts.  

Time Allocation

Time is one of the most precious resources in any organisation, and data analytics plays a vital role in its effective management. Predictive models can anticipate project timelines, allocate the correct amount of time to each task, and identify opportunities for time-saving.  

This not only increases operational efficiency but also ensures that projects are delivered on time, enhancing customer satisfaction and internal productivity. 

Advanced Analytics for Strategic Resource Allocation

Well implemented advanced analytics platforms integrate data from multiple sources to provide a holistic view of your resource landscape. By applying machine learning algorithms and predictive models, you can: 

The result? A resource allocation strategy that’s more agile, more efficient, and more effective than ever before. 

Example of Datore’s resource allocation dashboard

Getting Started: Your Roadmap to Strategic Resource Allocation

So, how do you get from throwing darts in the dark to strategic resource allocation that saves time, money and nerves? Here’s a simplified roadmap to resource allocation excellence! 

Assess Your Current State

Take stock of your existing data sources and allocation processes.

Where are the pain points?

What decisions are currently based on guesswork rather than data?

Define Your Goals

What does success look like for your organisation?

Whether it’s reducing costs, improving service quality, or boosting sustainability, clear objectives will guide your analytics strategy.

Invest in the Right Tools

Look for an analytics platform that can integrate your various data sources and provide actionable insights.

Remember, the goal is to make your life easier, not more complicated! 

Foster a Data-Driven Culture

Encourage your team to embrace data-driven decision-making.

Provide training and support to help them understand and act on the insights provided by your analytics platform.

Start Small, Think Big

Begin with a pilot project to demonstrate the value of analytics-driven resource allocation.

Once you’ve proven the concept, you can scale up across your organisation.

And the good news is – you can achieve all of this without an in-house data department or a huge initial investment.  

Datore’s Analytics as a Service solution provides: 

on a single monthly subscription to help you implement strategic resource allocation and other data-driven strategies to streamline your FM operations. 

Conclusion - Strategic Resource Allocation in Facilities Management

As we hurtle towards an increasingly complex and interconnected future, the ability to allocate resources strategically will only become more critical.

By embracing advanced analytics now, you’re not just solving today’s problems – you’re future-proofing your organisation for the challenges of tomorrow. 

So, are you ready to say goodbye to the guesswork and hello to data-driven decision-making?

It’s time to unleash the power of data trapped in your systems and spreadsheets and make the most of (often limited) resources available to you! 

Strategic resource allocation without an in-house data department? Let's chat!

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Graham Perry

Managing Director
Graham has worked within the built environment technology industry for the last 30 years. He is the lead judge for technology in the IWFM impact awards and has been a judge for the i-FM technology awards for the last 7 years.

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