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Ways Manufacturers Can Make Better Use of Data

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Big data is a buzzword you hear used by ever more companies across many different industries. For manufacturing companies, using data in smart and modern ways can improve processes and procedures, encourage growth in ways that would have been impossible in the past, reduce costs and raise profits.

Data are the facts or information about every aspect of manufacturing processes. Using IoT devices to record the manufacturing process, companies can avail themselves of all sorts of data. Unfortunately, many manufacturing companies, at best, don’t understand how to gather, analyze, and use all this data that is now available to them or, at worst, choose to entirely ignore it. If your company is not currently using data to drive production and make better decisions, you are missing out on major opportunities to improve your company. Here are 3 ways manufacturers can make better use of data to improve their processes.

Set Clear Goals

Manufacturing is all about setting goals for your machinery and manpower in order to produce the greatest quantity of good quality products as efficiently and quickly as possible. How clear are your goals? Are they passive and driven only by orders or are they based on data that allows your company to work in a way that is scalable and customizable when it needs to be? Some manufacturers struggle with these questions, especially when times get tough.  The ones who set the clearest, smartest goals will be the ones that prosper.

Using data and basic analytics allows you to see the whole picture and be proactive about manufacturing goals. Using machine-level data you can learn incredibly important points such as when and how often you are producing different products, how long it takes, and how much money goes into producing each item. You can also get data on tiny seemingly insignificant information that will show you the times and conditions that generate the most profitable outcomes. When you know these data points, you can work to set goals that recreate the most profitable outcomes as much as possible to maximize your manufacturing efficiency.

Data provided by IoT devices in the manufacturing process can also help companies better understand cycle time and how it improves with more data and updated procedures. Cycle time measures the span of time from when an order is placed until it gets into a customer’s hand. With solid data to help you improve cycle time, you can start making clearer goals on customer timelines which will lead to improved customer relations and feedback.  

Have Well-Defined Procedures

With clearly established data-driven goals, more data is used to help companies meet and exceed those goals. Manufacturers can do this in several different ways. As more data about their processes is gained, one of the best ways to achieve goals is to speed up production. When you do that, however, more errors can occur. Using big data companies can determine methods for going faster but with fewer errors.

To accomplish this seemingly impossible task, you must collect and analyze all the data at hand. Using error-rate data you can see who and what in the process is linked to the most errors and start creating a mix of products and workers that leads to the smallest number of errors. This will save money on unusable goods and while speeding up the process of hitting goals. It can also help to create employee incentive and training programs that will lead to a faster and less error-filled process.

Another way big data analytics generated during the manufacturing process by IoT devices can help companies adapt their processes to the modern environment, is by increasing their ability for customization. In 2020, manufacturing customization is more desirable for clients than ever before and data is the key to offering more of this. To start, knowing data about all of your manufacturing processes allows you to manufacture goods in the most efficient way possible. When you have a client looking for customization, you will quickly be able to make a data-based decision on whether or not you are able to do what is requested and how it will affect your bottom line.

Track Data Comprehensively

The manufacturing process is not merely about using data drawn from the machines, people, and products you make.  Some data from all around you can be mined for better outcomes. In addition to acquiring and processing data from the tangible materials around you, you can also use environmental data to create a better manufacturing process and hit your goals. In some manufacturing industries – ones that make very precise and sensitive products – this data is a “must-have”.

Using a cloud-based monitoring system is one way to maintain widespread data visibility in complex systems. For manufacturers in such fields as the aerospace industry, where parts need to be produced and stored in precise environmental conditions, being able to collect precise environmental data about things like temperature, humidity, and pressure is vital. Dickson is an example of a company that offers data loggers and management software that can be implemented in this manner.

Using these types of data loggers allows the aerospace industry to maintain optimal conditions for making the products they produce; that helps them safely deal with volatile materials. Since they produce products using all types of electronics, metals, plastics, synthetic compounds, and other sensitive materials, precise conditions must be maintained. How they maintain these conditions varies greatly between facilities of different sizes, setups, and located in different climates, which is why comprehensive data tracking is so important for each facility that creates aerospace products.

Conclusion

These are just a few of the ways manufacturers can make better use of data. Big data is the new frontier of manufacturing and the companies that use it best will see quicker, larger, and longer-lasting improvements to their processes and outcomes than companies who don’t. Integrating IoT devices into the manufacturing process is the best way to start capturing and utilizing this data today.

The idea of Bigtime Daily landed this engineer cum journalist from a multi-national company to the digital avenue. Matthew brought life to this idea and rendered all that was necessary to create an interactive and attractive platform for the readers. Apart from managing the platform, he also contributes his expertise in business niche.

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Business

Royal York Property Management And Nathan Levinson On Building Stable Rental Portfolios In A Volatile Market

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Across North America, Europe, and much of the world, rental housing is caught between two pressures. On one side are tenants facing record affordability challenges. On the other side are landlords seeing operating costs, interest payments, and regulatory complexity move in the opposite direction.

Recent analysis from Canada’s national housing agency shows how tight conditions still are. The average vacancy rate for purpose-built rentals in major Canadian centres rose to about 2.2 percent in 2024, up from 1.5 percent a year earlier, but still below the 10-year average despite the strongest growth in rental supply in more than three decades. 

At the same time, higher interest rates have pushed up the cost of acquiring and financing rental buildings, which has slowed transactions and made many projects harder to pencil out.

In this environment, the question for landlords and investors is less about chasing maximum rent and more about building stability. That is where Royal York Property Management and its founder, president, and CEO Nathan Levinson have drawn attention.

From a base in Toronto, Royal York Property Management manages more than 25,000 rental properties, representing over 10 billion dollars in real estate value, and operates across Canada, the United States, and parts of Europe. Levinson also sits on a Bank of Canada policy panel focused on the rental market, where he provides data and on-the-ground insights about rent trends and landlord stress. 

For many smaller property owners, his model has become a reference point for how to treat rental housing as a structured financial asset rather than a side project.

Rental housing under pressure from both sides of the balance sheet

In many countries, the basic rental story is the same. Construction of new rental housing has climbed, yet demand still runs ahead of supply in most major cities. In Canada, overall rental supply grew by more than 4 percent in 2024, the strongest increase in over thirty years, while vacancy rose only modestly. 

At the same time, borrowing costs have moved sharply higher compared with the pre-pandemic period. Research shows that elevated interest rates have reduced the profitability of new multifamily deals and slowed investment activity, even as structural demand for rental housing stays strong.

For small and mid-sized landlords, that tension shows up in a simple way. Mortgage payments, taxes, insurance, and maintenance rarely move down. Rents move up more slowly, and in many jurisdictions they are constrained by regulation or market realities.

Levinson’s view is that this gap will not close on its own. Landlords who want to stay in the market need more predictable income, tighter control of costs, and clearer systems for dealing with risk.

A property management model built for volatility

Royal York Property Management did not start as an institutional platform. Levinson’s early clients were owners of single condominiums, duplexes, or small buildings who were struggling with irregular rent payments, surprise repairs, and complex rental rules.

Instead of handling each property ad hoc, he built a standardized operating model that treats every door as part of a wider portfolio. Each unit sits on a centralized platform that records rent, arrears, lease expiries, maintenance tickets, and legal actions. Owners see real-time statements and performance metrics rather than waiting for year-end reports.

That structure, combined with an internal maintenance and legal team, is designed to handle stress rather than avoid it. When markets are calm, the system may look conservative. When conditions worsen, it is what keeps owners in the black.

“Execution is everything” is how Levinson often frames it in interviews. 

Turning rent into a more predictable income stream

The feature that first drew many investors to Royal York Property Management is its rental guarantee program in Ontario. Under this model, landlords receive their rent even if a tenant stops paying. RYPM takes responsibility for legal proceedings, arrears recovery, and re-leasing the unit, while the owner continues to receive income.

Independent profiles of the company describe this as one of the first large-scale rental guarantee frameworks in the Canadian market, and note that the firm manages tens of thousands of units under this structure. 

The guarantee itself is closely tied to local law and does not transfer directly into every jurisdiction. The underlying logic, however, is straightforward:

  • Treat unpaid rent as a recurring and manageable risk rather than an occasional shock.
  • Price that risk into a clear product instead of handling each case informally.
  • Use scale, legal expertise, and data to keep default rates low and resolution times shorter.

For landlords who are facing mortgage renewals at higher interest rates, having a more stable rent stream can be the difference between holding a property and being forced to sell. That is one reason rental guarantee models have started to attract interest from investors outside Canada who are watching RYPM’s approach.

Using technology to see risk earlier

Behind the guarantee and the day-to-day operations is a technology stack that tries to surface problems before they become crises. Royal York Property Management’s internal platform uses data from payments, maintenance, and tenant behavior to flag risk signals and operational bottlenecks. 

Examples include:

  • Tenants who move from on-time payments to repeated short delays.
  • Units where small repair tickets point to a larger capital issue ahead.
  • Buildings where complaint volumes suggest service gaps or staffing problems.

Rather than treating these as isolated events, the system aggregates patterns across thousands of units. That allows management to decide whether a problem is individual, building-specific, or systemic.

Levinson has also pushed this data outward. As a member of the Bank of Canada’s rental policy panel, he provides anonymized information on rent collection, defaults, and renewal behavior, which feeds into broader discussions about financial stability and housing policy. 

The same data that protects a landlord’s cash flow in one building helps central bankers understand how higher rates are affecting thousands of households.

Why the Canadian case matters for global landlords

Several recent reports underline how closely rental markets are now tied to national economic performance. Tight rental supply and high rents are feeding inflation in many economies. At the same time, higher borrowing costs are discouraging new construction, which risks prolonging shortages. 

This feedback loop is especially hard on small landlords. Many own only one or two properties and have limited room to absorb higher mortgage payments or extended vacancies. Analysts in Canada and abroad have warned that some owners are at risk of default as their loans reset at higher rates. 

In that context, the Royal York Property Management model offers three lessons that travel across borders:

  1. Standardization protects both sides. Clear processes for screening, rent collection, maintenance, and legal steps reduce surprises for owners and tenants at the same time.
  2. Risk pooling is more efficient than one-off crises. Handling arrears, legal disputes, and vacancies inside a structured system is less costly than improvising each time.
  3. Operational data belongs in policy conversations. When policymakers have access to real rental data rather than only mortgage statistics, interventions can be better targeted.

It is not an accident that Levinson’s work now sits at the intersection of private property management and public financial policy.

What everyday landlords can borrow from the Royal York playbook

Most landlords will not build a 25,000-unit management platform. Many will never interact with a central bank. The core ideas behind Nathan Levinson’s approach are still accessible to smaller owners that manage a handful of properties.

Three practices stand out.

First, treat every rental unit as part of a simple portfolio. That means using a consistent template to track rent, arrears, expenses, and vacancy days for each property, then reviewing it on a schedule instead of only when something goes wrong.

Second, write down the rules for risk in advance. Late-payment steps, repayment plans, documentation standards, and maintenance response times should exist on paper, not only in memory. Royal York’s experience suggests that clear rules reduce conflict, because everyone knows what will happen next. 

Third, invest in service as a protective layer. Multiple independent profiles of RYPM point out that faster response times and transparent communication reduce tenant turnover and protect building condition, which in turn supports long-term returns. 

For landlords and investors trying to navigate today’s volatile rental markets, the message from Royal York Property Management and Nathan Levinson is surprisingly simple. You cannot control interest rates or national housing policy. You can control how organized your portfolio is, how clearly you manage risk, and how consistent your operations feel to the people who live in your buildings.

For many, that shift from improvisation to structure is what will decide whether their rental properties remain a source of wealth or turn into a source of stress.

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