Real Estate Investment, Asset Management
Article | May 5, 2023
Explore the latest trends, tools, and strategies for optimizing data-driven real estate asset management services and achieving long-term success with a comprehensive guide to improving business ROIs.
Contents
1 Importance of Data-driven Model for Real Estate Asset Management
2 Seven Steps to Measure Data-driven Asset Management
2.1 Defining the Purpose and Scope
2.2 Identifying the KPI
2.3 Determining the Sources
2.4 Collecting and Cleaning Data
2.5 Data Analysis
2.6 Performance Evaluation
2.7 Continuous Monitoring
3 Effectiveness Metrics for Data-Driven Asset Management
3.1 Occupancy Rate
3.2 Operating Expense Ratio
3.3 Tenant Retention Rate
4 Conclusion
1. Importance of Data-driven Model for Real Estate Asset Management
As real estate technology continues to develop and become more cost-effective for both new and existing business structures, and as collaboration platforms, sensors, and smart devices continue to advance, the amount of data produced by commercial real estate assets is growing exponentially. This data can give real estate market participants like investors, asset managers, property managers, and tenants a competitive advantage and help them avoid disruption if they develop data-driven services and new business models centered on the specific needs of users, owners, or the property itself. However, only a concerted effort by all real estate stakeholders including builders, investors, owners, tenants, and service providers towards data-driven real estate asset management can optimize data to generate insights that improve performance and profitability.
The significance of data-driven models in real estate asset management is growing as the models enable more informed decision-making and more efficient operations by collecting and analyzing data from various sources. Real estate asset managers can gain a greater understanding of the performance of their assets and make more informed management decisions. This can result in increased efficiency, profitability, and tenant satisfaction.
2. Seven Steps to Measure Data-driven Asset Management
Measuring the effectiveness of data-driven real estate asset management services enables businesses to evaluate their current strategies and identify areas for improvement in the services they offer By following these steps to measure asset performance, processes, and activities, businesses can gain insights and make data-driven decisions to optimize performance and maximize returns.
2.1 Defining the Purpose and Scope
The process of measuring data-driven real estate asset management services begins with a clear definition of the purpose and scope of the measurement. It involves conducting a comprehensive review of the business goals as well as identifying specific objectives and purposes for the strategies to develop a well-defined purpose and scope for measuring the effectiveness of asset management services. It helps to ensure that the real estate asset management services are aligned with the broader business strategy.
2.2 Identifying the KPIs
Defining the purpose and scope of data-driven asset management is followed by identifying KPIs to measure success. It requires a clear understanding of critical areas of asset management and selecting quantifiable measures to define success factors and track progress. Choosing the right KPIs provides valuable insights into asset performance, enabling real estate executives and managers to make informed, data-driven decisions to optimize performance and maximize returns.
2.3 Determining the Sources
Identifying the data type, including financial, property, market, and tenant, is essential to determine the sources for evaluating data-driven asset management services. After establishing the data requirements, the sources, such as internal systems and databases, third-party data providers, and publicly accessible data sources, are determined with data compliance and security as the determining factor. Determining sources ensures that the asset management data is trustworthy, current, and accurate, which impacts subsequent decision-making. This step provides the groundwork for data-driven decision-making.
2.4 Collecting and Cleaning Data
Data collection and cleansing are essential for measuring data-driven asset management services. The collected data must be precise, exhaustive, and dependable for subsequent analysis and decision-making. The step involves validating the data for completeness and accuracy, eliminating errors, inconsistencies, and duplicates, and standardizing the data across all sources. The process identifies improvement opportunities, optimizing real estate asset management services for maximum efficiency and profitability.
2.5 Data Analysis
Data analysis plays a critical role in measuring data-driven asset management services. After finalizing the data collection and cleaning step, the data is analyzed using various techniques such as statistical analysis, predictive modeling, and data visualization. These techniques help to identify trends, patterns, and relationships that provide insights into asset performance. Data analysis provides a more profound understanding of the performance of real estate assets, leading to improved efficiency, increased profitability, and enhanced tenant satisfaction.
2.6 Performance Evaluation
Evaluation of data performance to comprehend improvements in the data-driven asset management services starts once the data is analyzed. The performance evaluation step involves comparing actual results to the established KPIs to determine whether the goals are being met or whether there are areas for improvement. It aids in identifying deviations from predetermined objectives and prompts and taking required corrective actions to realign with the business strategy. In addition, this step facilitates identifying improvement opportunities and ensures that real estate asset management services are optimized for maximum efficiency and profitability.
2.7 Continuous Monitoring
Measurement of data-driven real estate asset management services ends with continuous monitoring. To ensure asset management strategies are working, continuously tracking and evaluating KPIs from earlier steps while identifying underperformance and improvement opportunities is involved in the last stage. Operation managers can make data-driven choices, identify risks and opportunities, and optimize asset management strategies for efficiency and profitability by monitoring real estate asset performance. In addition, it ensures that real estate asset management services remain effective over time and can adapt to market changes to maintain a competitive edge.
3. Effectiveness Metrics for Data-Driven Asset Management
Effectiveness metrics for data-driven asset management services are the KPIs used to measure the success of data-driven strategies. These metrics help real estate executives and managers evaluate the performance of their assets and make data-driven decisions for maximum efficiency and profitability.
3.1 Occupancy Rate
The occupancy rate is an essential metric in data-driven real estate asset management. This metric indicates the proportion of a property's rental units that are occupied at present. A higher occupancy rate suggests the property performs well, as more tenants occupy the units. Therefore, this metric can be used by real estate businesses to gauge the efficacy of their digital asset management strategies.
3.2 Operating Expense Ratio
The operating expense ratio is used to evaluate a property's operational efficiency for data-driven asset management. It is calculated by dividing the operating expenses incurred by the property by the total rental income generated. It helps measure the proportion of income consumed by the expenses, such as maintenance costs, utilities, and commercial property management fees. A lower operating expense ratio indicates better cost control and efficient use of resources, resulting in increased profitability for the real estate asset.
3.3 Tenant Retention Rate
In real estate asset management, the tenant retention rate is an essential metric that measures the proportion of tenants who choose to renew their lease agreements. It is an essential indicator of tenant satisfaction and the quality of property management services. A higher tenant retention rate indicates that tenants are satisfied with the property and management, resulting in a stable tenant base, lower vacancy rates, and decreased costs associated with tenant turnover.
4. Conclusion
The significance of utilizing data-driven models for real estate asset management is rising due to digital real estate asset management, technological advancements, and the expansion of collaboration platforms, sensors, and intelligent devices. To gain a competitive edge and avoid disruption, stakeholders in the real estate industry must prioritize the development of data-driven services and innovative business models that cater to the unique needs of users, owners, and the property itself. In addition, the use of data-driven models can also lead to more efficient and informed decision-making, reducing costs along with increasing profits and improving real estate portfolio management.
Read More
Real Estate Investment, Asset Management
Article | May 25, 2023
You may have heard the often-cited National Association of REALTORS® (NAR) statistic that 90% of homeowners would use their real estate agent again, but only 12% actually do. What you may not know is the reason behind it.
According to Chris Stuart, president of PLACE, Inc., the real estate industry spends more on customer acquisition than any other industry but doesn’t invest the same amount in customer retention. The numbers back him up, with companies like Southwest and Marriott spending less than 3% of their marketing budget on customer acquisition, while the real estate industry spends a whopping 20% of its marketing dollars to add customers, only to lose them as they leave the closing table.
Of course, retention in real estate is made more difficult by the fact that the average time between real estate transactions is five to seven years, not just a few weeks or months as it would be for retail or travel companies.
Looking at other industries that focus more on customer retention, they do so not by offering a host of random services, but by creating a customer experience that brings people back over and over. With that in mind, here is a tactical approach that will allow you to prove your value month after month—for years to come.
Read More
Real Estate Technology, Asset Management
Article | May 10, 2023
If you are intending to invest in real estate and are looking for methods of growing your real estate business successfully to earn a large income as soon as possible, I’m here to give you some quick and simple tips, that are essential when it comes to managing a business and achieving success.
Read More
Real Estate Advice
Article | June 7, 2022
For first-time homebuyers, making the transition from renter to homeowner can be exciting, overwhelming, and scary all at once. Yet as Gary Keller and Jay Papasan write in the second edition of Your First Home, “Those who live the most fulfilling lives base their decisions on facts, not fears.”
Below, we’ve outlined four powerful facts from Your First Home to help move anxious homeowners toward the fulfillment and abundance Keller and Papasan nod to. Delivered with empathy, care, and your expertise – these facts can help ease fears and move clients closer to experiencing all the bounties homeownership brings.
Fear 1: “I can’t afford to buy a home now.”
Fact: Until you do the math, you don’t know what you can or can’t afford.
If you are currently paying rent, generally you can afford to buy. From a financial point of view, in the United States, the tax savings on mortgage interest alone usually make up most of the difference between your rent and mortgage payments – the tax write-offs you get at the end of year will generally help you save a lot of money.
Additionally, depending on your credit score, you can end up affording more than you realize. Note: The credit scores used for mortgage lending tend to take on a much larger picture of your overall credit score.
Finally, although there may be a higher initial cost to buying a house, if you’re planning on staying in one place for a few years, the equity you build can end up being a financial boon.
Fear 2: “I should wait until the real estate market gets better.”
Fact: There is never a wrong time to buy the right home.
Whether “right” means the right price or the right property for you, waiting for the perfect market timing seldom works to your advantage. If you don’t believe us, look back to the Great Recession when the bubble around the housing market burst, GDP declined 4.5% and unemployment rose to around 9.5%. Everyone still feels the impact of this incredible financial event. But, like those who endured the Great Depression, the people who lived through the Great Recession made it through, and benefited from an era of financial growth. In fact immediately following the Great Recession, the United States entered the longest period of rising prices and general prosperity since World War II. The fact of the matter is, even the biggest economic downturns are, well, normal. Even when there were some events that threatened to dampen the economy, like the COVID-19 pandemic, the housing market still continued to thrive.
In the end, there are two ways to make money in real estate: timing and time. That is you happen upon the right moment to purchase your home before the price appreciates, or you hold it for a long enough time so that appreciation makes your purchase investment right. If you miss the first, you can most certainly count on the second.
Fear 3: “I don’t have the money for a down payment.”
Fact: There are a variety of down-payment options available to you.
While many people believe that making a home purchase requires a substantial down payment, as as much as 20%,, this is seldom true. Options are always available to you that require much less than this number, as low as 5%, some even less. Moreover, most states have down-payment assistance programs that can help you afford to buy.
House-hacking can also be a great way to make homeownership a more affordable option. House-hacking is when you purchase a piece of real estate and lease out one of the bedrooms or units. This rental income can then be applied toward your mortgage. Or, you can participate in home rental programs like Vrbo or Airbnb. While it may not be ideal all of the time, you could always make your month’s mortgage payment by renting your place while you’re on vacation.
Fear 4: “I can’t buy a home because my credit score isn’t good.”
Fact: A less-than-perfect credit score won’t necessarily prevent you from buying a home.
Although it’s valuable to have a good credit score, a poor one shouldn’t necessarily prevent you from talking to lenders to explore your options. You can expect that a good loan officer (or mortgage specialist) will be able to help you resolve your credit challenges, often simply by showing you how to move or consolidate your debts, or by referring you to a credit counselor who will put you on a plan.
If you’re facing the challenge of having no credit history because you are new to the workforce or have not made regular purchases on credit, there are still possible solutions that you may want to explore. One is to secure financing with the help of a cosigner, such as parents or a close relative, who is willing to stand by your ability to make the payments. Another can be finding a lender who is willing to use alternative forms of history such as student loans, rent, and utilities.
Looking For More Homeownership Resources?
Head over to the Your First Home webpage for freebies, including information on how to build out your real estate dream team and for your clients, a resource on how to determine their homeownership criteria.
Read More