Real Estate Technology
Article | July 21, 2022
Learning the latest trends and strategies in digital real estate asset management will help enhance business. Leveraging digital tools, benefits, and techniques transforms asset management approach.
Contents
1. Introduction
2. Five Latest Trends in Digital Real Estate Asset Management
2.1. Cloud-based Real Estate Asset Management
2.2. Blockchain Integration
2.3. Growth of Smart Buildings
2.4. Adoption of Virtual and Augmented Reality
2.5. Expansion of Proptech Ecosystem
3. Why should Businesses Implement Digital Asset Management Trends?
3.1. Improved Customer Experience
3.2. Future-Proofing
3.3. Better Brand Management
3.4. Improved Collaboration
3.5. Cost Savings
4. Conclusion
1. Introduction
Keeping abreast with emerging trends and technologies is crucial for success in the ever-changing and dynamic real estate industry. With the proliferation of real estate assets, there is a growing demand for improved organization, storage, and management of digital assets. Digital asset management assists real estate professionals in optimizing workflow, collaboration and improving decision-making abilities while reducing costs and ensuring asset security. Additionally, organizations adopting digital asset management can future-proof their strategies and gain market advantage. The article highlights the significance of digital asset management in real estate and the most recent developments in this field.
2. Five Latest Trends in Digital Real Estate Asset Management
Digital Real Estate Asset Management has emerged as a critical component in the management of real estate portfolios. As a result of technological advancements, businesses have access to new tools, platforms, and applications that facilitate automation and streamline asset management activities. With the increasing demand for transparency and efficiency, adopting digital technologies in asset management has become necessary.
2.1. Cloud-based Real Estate Asset Management
The real estate industry is undergoing a significant transformation, with more and more businesses moving towards cloud-based platforms for asset management. This shift is driven by the need for increased scalability, flexibility, and accessibility in managing real estate assets. With cloud-based platforms, real estate asset management professionals can now work on properties from anywhere and anytime without being confined to their offices. Cloud-based platforms have simplified asset management by leveraging cloud computing technology to streamline processes and enhance productivity. In addition, leveraging the technology businesses can also provide their clients with better digital asset management solution and faster services, which can help increase customer satisfaction and retention rates.
2.2. Blockchain Integration
Blockchain is a secure, decentralized, and transparent ledger system that enables the transfer of assets and data without intermediaries. Integrating blockchain technology into real estate asset management is a trend businesses must follow for digital asset management. However, the siloed nature of digital real estate business networks causes friction and opacity. With blockchain integration, real estate businesses get solutions to tokenize assets, increase process efficiency, reduce costs, and offer global asset distribution, ownership fractionalization, secondary market opportunities, and data accessibility. The integration further benefits in making better investment decisions, portfolio management and improve business position to compete in a rapidly changing digital landscape.
2.3. Growth of Smart Buildings
The growth of smart buildings is a prominent trend in digital real estate asset management. Smart buildings utilize IoT devices and sensors to collect data and automate tasks, resulting in improved energy efficiency, cost savings, and enhanced tenant experiences. In addition, it leads to improved occupancy rates and brings in ROI for real estate asset managers. With the potential for greater sustainability and improved tenant satisfaction, implementing smart building technology is rapidly gaining traction among real estate professionals. Furthermore, smart buildings provide real estate asset managers with valuable insights into building performance and tenant needs, enabling them to make data-driven decisions and improve operational efficiency. As a result, the trend toward smart buildings is expected to continue, with real estate asset managers increasingly adopting technologies to stay competitive and maximize overall returns.
2.4. Adoption of Virtual and Augmented Reality
The growing demand for augmented and virtual reality in the real estate industry can be attributed to the rapid adoption of advanced technology that has significantly enhanced user experiences, thereby streamlined the buying and selling process. These technologies have created a new reality for architects, builders, sellers, and buyers, ensuring cost-effectiveness, global reach, mobility, visualization of changes, construction management, and profits. Additionally, VR and AR technology facilitate remote property inspections and maintenance, thus reducing costs and saving time. However, implementing VR and AR technology comes with many challenges, including the need for specialized hardware and software and the cost of development and maintenance. Nevertheless, their potential benefits in real estate asset management make it a trend that businesses should consider implementing to remain competitive.
2.5. Expansion of Proptech Ecosystem
The rapid advancements and widespread adoption of technology have fundamentally changed people's lives and work habits, influencing their expectations for living and workspaces. As a sector that touches every aspect of daily life, the real estate industry is well-positioned to engage in cross-industry integration with sectors such as finance, medicine, education, and healthcare. The concept of prop-tech explored in this report encompasses two dimensions. The first dimension is digitalizing the real estate ecosystem, which includes digitizing business activities from land acquisition and development to real estate transactions and property asset management services. The trends in user space requirements need flexible space selection, user-experience-tailored space, cutting-edge information practices, innovative exposure, and customized solutions that are closely connected to people.
3.Why should Businesses Implement Digital Asset Management Trends?
As technology revolutionizes every industry, staying up-to-date with the latest trends is crucial to achieve success. Similarly, implementing digital asset management trends is about staying relevant, competitive, innovative and meeting the demands of a modern and tech-savvy customer segment.
3.1. Improved Customer Experience
Adopting digital asset management trends in real estate can significantly improve customer experience. Businesses must offer fast and easy access to their assets, resulting in faster decision-making and increased satisfaction. Enhanced search capabilities make it easier for customers to find what they need, while personalized content based on their preferences and past interactions leads to better engagement and satisfaction. A user-centric approach helps businesses tailor their digital assets to meet customers' unique needs and expectations, improving customer loyalty and increasing revenue.
3.2. Future-Proofing
In today's rapidly evolving business landscape, it is critical for companies in the real estate industry to remain agile and adaptable to stay relevant and competitive. By implementing digital asset management trends, businesses can future-proof their operations and ensure their longevity in the market. It means staying up-to-date with the latest technological advancements and continuously adapting to meet changing consumer demands. In addition, digital asset management allows for greater flexibility and scalability in business operations, providing a strong foundation for growth and expansion.
3.3. Better Brand Management
Digital asset management can considerably improve brand management in the real estate industry. By providing a central repository of brand assets such as logos, images, and marketing materials, businesses can maintain consistency across different platforms and avoid inconsistencies in branding. In addition, with easy access to the latest version of assets, all organization members can ensure that the correct branding materials are being used. It further helps businesses maintain a strong brand identity and avoid confusion or misrepresentation of their brand.
3.4. Improved Collaboration
With a central location for teams to access and share files, digital asset management trends help streamline the process, workflows and facilitate collaboration within teams. In addition, collaborative tools like version control and commenting features allow team members to work together more efficiently and effectively while ensuring accessibility to real-time information. With digital asset management, businesses can enhance team collaboration, improve project outcomes, increase innovation, and better business results.
3.5. Cost Savings
Businesses in a highly competitive market continually look for ways to improve efficiency and cost cutting. Therefore, adopting digital asset management trends can be highly beneficial, as it provides a more effective and economical means of managing and disseminating digital assets. In addition, business processes can be streamlined, identical tasks are eliminated, and unnecessary third-party solutions can be avoided with the help of a centralized digital asset management system. Moreover, digital asset management can improve security by providing controlled access to assets and reducing the risk of unauthorized use or distribution.
4. Conclusion
Digital real estate asset management trends help occupy better physical asset value through digital transformations, data analytics, and operational efficiencies. Traditional real estate companies are challenged to think like digital or technology-based asset management companies that help link service delivery and value to revenue. With the potential growth of digital asset management for real estate businesses, it is time for companies to shift from just space providers to service partners and tenant providers.
Adopting software solutions and new trends in real estate asset management offers many benefits, including improved customer experience, future-proofing, digital transformation, better brand management, collaboration, and cost savings. In addition, integrating technologies like artificial intelligence, machine learning, and blockchain can further enhance the efficiency and effectiveness of digital asset management.
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Real Estate Advice, Asset Management
Article | May 9, 2023
As the global social and economic consequences of the COVID-19 pandemic emerge, indoor air quality, for example, has emerged as a top priority for keeping building occupants safe and healthy. Workplaces and remote work arrangements are being reimagined by business owners, while retailers and restaurant operators continue to convert their physical spaces for social distancing or, in some cases, for an entirely new use.
In this context, the expectations of asset owners from office, retail, hotel, and residential users have grown exponentially, and there is no shortage of new challenges and opportunities for commercial landlords.
Sustainable environments with ergonomic furnishings, biophilic elements, natural daylight, and living green walls are meeting demands for lower operating costs, increased performance, and improved occupant well-being, as are healthy buildings with natural ventilation, enhanced thermal comfort, improved air quality, and green purchasing policies. One of many innovative examples is a manufacturer of smart windows that tint automatically based on outdoor and indoor conditions, improving people's health and wellness while lowering energy consumption.
The digital twin — essentially a virtual copy of a building — is another example of how technology is being used to transform the real estate industry. By leveraging data analysis, building simulation, the internet of things, artificial intelligence, machine learning, and robotic process automation, digital twins have the potential to help building owners and operators bridge the physical and virtual worlds. The digital twin's resulting assessment, calibration, modelling, and scenario planning capabilities enable more efficient operations, reduced maintenance, increased energy savings, and real-time decision-making support for the physical building. The health of a building will be considered an amenity by its occupants as landlords take steps to improve air quality inside their buildings through smart building.
Overall, healthy buildings improve occupant satisfaction, leasing rates, and building value. Buildings with better air quality and more natural light have lower absenteeism and, as a result, lower turnover and higher worker productivity, resulting in financial savings and increased value for the business. The same advantages apply to retail and residential buildings.
Landlords and commercial tenants are discovering that recognized standards, such as WELL and Fitwel, are enabling an effective framework and leading practices in the ownership, occupancy, and management of their physical environments as they develop, implement, and manage healthy building efforts.
A sustainable and healthy building prioritizes resource efficiency (energy, water, and materials) while enhancing positive building impacts on human health and the environment. Building owners and occupiers who are proactive in furthering these efforts are not only building resilience now, but also preparing for what comes next and beyond.
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Real Estate Technology, Asset Management
Article | May 10, 2023
Early in 2020, the market was extremely liquid for real estate investors and operating companies. Interest rates were relatively low, asset values were high, unemployment was low, and there was little inflation—overall, the market was performing well. And then the lending market began to change in March in response to the COVID-19 pandemic. The number of defensive draws by companies to preserve their liquidity has been unprecedented, and the number of loans has drastically increased. Other forms of capital have slowed due to the inability to forecast risk. It’s a challenging time for real estate companies to stay abreast of market trends, as well as quantify the current and anticipated business impacts in this dynamic environment. With data constantly changing, how are real estate companies navigating this seemingly open-ended period of uncertainty? On April 17, EisnerAmper hosted a “Real Estate Principals Virtual Roundtable” with the Bay Area Council, Kennedy Wilson, and Wells Fargo. This online event provided a forum for industry leaders to share their experiences regarding the current lending market and to hear first-hand from their peers regarding how they’re navigating the current environment. Here are some key takeaways from that discussion.
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Real Estate Advice, Asset Management
Article | May 9, 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.
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