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How To Help Your Seller Find Success With A Real Estate Auction

For investors looking to purchase properties at an affordable price, real estate auctions provide a great opportunity to find a deal. First time bidders may find the auction process a bit intimidating, but conducting some research ahead of time can provide substantial peace of mind on the day of the sale. Abide by the following tips to ensure a successful real estate auction experience.

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William Raveis Real Estate, Mortgage & Insurance

From Manhattan to Maine, Naples to Nantucket, William Raveis Real Estate, Mortgage & Insurance sets the gold standard for civilized real estate. Raveis.com is at the forefront of technology, serving as a wealth of information for the potential home buyer or seller with detailed searches and open houses, neighborhood mapping, market statistics and graphs, community and school information, and newsletters to keep you informed about the real estate market today. Welcome to Well-Connected. Welcome to Raveis.

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Real Estate Technology

A Guide to Measure Data-driven Real Estate Asset Management Services

Article | July 21, 2022

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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Real Estate Technology

Enhance Asset Management Efficiencies with Data-driven Real Estate

Article | July 25, 2022

Explore the potential of data-driven real estate in optimizing asset management and revolutionizing strategies. Learn how advanced technology is changing the future of real estate asset management. Contents 1. Importance of Data-driven Decision Making in Asset Management 2. Overcoming Difficulties to become Data-driven Real Estate Business 2.1 Availability of Data and Connectivity 2.2 Implementation of a Structured and Agile Development Process 2.3 Accelerating Speed and Reducing Costs 3. Benefits of Data-driven Real Estate Asset Management 3.1 Increased Efficiency and Cost Savings 3.2 Improved Tenant Satisfaction and Retention 3.3 Better Risk Management and Decision-making 3.4 Increased asset value and profitability 4. Data-driven Asset Management Solutions 4.1 Property Management Solutions Providers 4.2 Digital Asset Management Solutions Providers 4.3 Project Portfolio Management Solutions Providers 5. Emerging Data-driven Asset Management Patterns 1. Importance of Data-driven Decision Making in Asset Management Real estate asset management is a complex and competitive industry, presenting challenges for asset managers and portfolio managers. Gathering and analyzing information provides valuable insights for data-driven decision making, impacting the success of real estate investments. Decision-making through insights allows real estate asset managers, as well as portfolio managers, to identify trends for the future of digital real estate asset management, make accurate predictions, and forecast future outcomes. For example, data analytics can provide insights related to occupancy rates, rent growth, and lease renewals, which further helps in strategic decision-making for the future. 2. Overcoming Difficulties to Become Data-driven Real Estate Business Corporate real estate asset management requires strategic planning and informed decision-making. Utilizing data-driven approaches, valuable insights into commercial property performance can be gained, leading to optimized operations, reduced costs, and increased profits. However, implementing a data-driven approach comes with its own set of challenges. Therefore, executives and managers in the real estate industry need to understand how to overcome these difficulties and successfully transform their businesses through data-driven operations. Key challenges the businesses must address include data availability, structured processes, and cost efficiency, all of which are essential for improving the effectiveness of asset management in the long run. 2.1 Availability of Data and Connectivity Reliable data availability is a significant challenge in data-driven decision-making for real estate businesses, as the data generated is often fragmented and siloed across different departments. To overcome this challenge, businesses must invest in technology cloud-based platforms, APIs, and data warehouses to enable seamless data integration and connectivity across the organization. In addition, organizations must consider implementing an integrated data management system to analyze data from multiple sources, providing the decision-makers with a comprehensive view of the organization's performance. 2.2 Implementation of a Structured and Agile Development Process For businesses adopting a data-driven methodology, implementing a structured and agile development process is a major challenge. A data-driven approach requires a planned data collection, analysis, and decision-making process. At the same time, the process needs to be adaptable to the changing market conditions and business requirements. To overcome this challenge, businesses must establish a formal process for data-driven decision-making, including clear roles and responsibilities, data governance policies, regular reporting and analysis. This can be achieved by leveraging agile methodologies, DevOps practices, and automation tools. 2.3 Accelerating Speed and Reducing Costs Speed and cost reduction are critical challenges for real estate businesses that operate in a highly-competitive market Data-driven decision-making is time-consuming and expensive, demanding executives and managers to invest in tools that can automate the data analysis and decision-making process. It includes implementing artificial intelligence and machine learning algorithms to rapidly process large amounts of data and provide real-time insights to facilitate informed decision-making. 3. Benefits of Data-driven Real Estate Asset Management Data-driven real estate asset management has the potential to revolutionize the way real estate businesses operate. Businesses will be able to unlock valuable insights to enhance overall operations and drive innovation by leveraging asset management tools and techniques. 3.1 Increased Efficiency and Cost Savings Data-driven commercial real estate asset management services offer businesses a powerful tool for increasing efficiency. Businesses must automate their manual processes and optimize workflows to increase productivity by leveraging real estate automation tools. It will save time, money and improve the overall quality of service provided to tenants, leading to higher tenant satisfaction rates. Additionally, data-driven decision-making help businesses identify areas to reduce unnecessary expenses, like energy consumption or maintenance costs. 3.2 Improved Tenant Satisfaction and Retention Real estate businesses understand tenants better and improve satisfaction as well as retention rates by managing assets using data-driven methods. By analyzing demographics, behavior, and preferences data, businesses can determine tenants' needs regarding property and make informed decisions to improve services and tailor offerings accordingly. In addition, it leads to higher satisfaction rates and helps companies to retain tenants, which is crucial for long-term success in the real estate industry. 3.3 Better Risk Management and Decision-making Real estate enterprises can make more informed decisions and better manage risks with data-driven asset management. Businesses must use real estate data analytics tools to examine property performance, identify potential opportunities and risks. It improves the accuracy and reliability of their decision-making process and helps mitigate risks more effectively. Furthermore, by incorporating predictive analytics in the real estate decision-making process, businesses can anticipate future trends and proactively take measures to address potential issues before they occur. 3.4 Increased Asset Value and Profitability Data-driven real estate asset management help businesses improve the value and profitability of assets. Business intelligence in real estate helps interpret property management data. In addition, businesses can identify areas for improvement, like cost savings or increasing rental rates. It can result in improved asset value, leading to higher profitability. Furthermore, by analyzing data on market trends of real estate asset management and tenant behavior, businesses can also identify potential areas for investment, leading to increased profitability in the long run. 4. Data-driven Asset Management Solutions Data-driven asset management solutions help real estate businesses manage assets more efficiently and effectively. With data analytics, businesses will be able to streamline their operations, make better-informed decisions, and increase asset value. Ultimately, it will result in overcoming the difficulties in managing the assets and improving the portfolio performance. With the help of advanced technology and automation tools, one can stay ahead of the curve in the highly competitive market and achieve business objectives effectively. 4.1 Property Management Solutions Providers TenantCloud TenantCloud is a cloud-based property management solution provider that offers comprehensive tools and features for real estate businesses to manage their assets efficiently. Its property management software enables real estate executives and asset managers to automate their workflow, increase efficiency, and reduce costs by centralizing and streamlining their property management processes. Its platform provides real-time visibility into property performance, tenant behavior, and rental income, allowing businesses to make data-driven decisions and identify opportunities for growth. Its online portal also allows tenants to submit maintenance requests, pay rent online, and communicate with property managers seamlessly. London Computer Systems London Computer Systems (LCS) is a leading real estate asset management service provider established in 1987. Its flagship product, Rent Manager, is a Property Management Software that offers a comprehensive solution for property management, including integrated accounting, contact management, work orders, and marketing solutions. LCS offers Net Dial Tone VoIP telephone systems, enterprise-level hosting solutions, network design and support services, and custom website development. With its customer-focused approach and advanced technology, The company streamlines operations by eliminating the need for multiple programs and driving innovation in the real estate industry. DoorLoop DoorLoop is a cloud-based property management software that specializes in real estate software, commercial real estate PMS, and residential property management software. Its solutions offer a range of features, including lease management, rent collection, maintenance requests, accounting, and reporting. With DoorLoop, managers and executives in real estate businesses can easily manage their properties and tenants from a single platform, improving efficiency and streamlining processes. Guesty Guesty is an end-to-end property management solution provider that offers a comprehensive platform for managing short-term rental properties. Its features include multi-calendar management, automated messaging, dynamic pricing, guest communication, and channel management. With Guesty's intuitive and user-friendly dashboard, real estate businesses can easily manage their properties anywhere. Its innovative solutions help businesses stay ahead of the competition, enhance their efficiency, and drive growth in the real estate industry. 4.2 Digital Asset Management Solutions Providers Canto Canto is one of the leading digital asset management solution providers for visual communications to help real estate companies of all sizes. Established in 1990, Canto is one of the digital asset management industry pioneers. 2,500+ customers leverage Canto’s software to organize, find and share videos and images that helps to work faster and build a brand in this evolving digital ecosystem of real estate businesses. Bynder Bynder is a digital asset management solution provider that is a centralized platform for managing all marketing and creative assets. Its features include asset organization and categorization, asset distribution and sharing, digital rights management, and analytics. Its solution enables real estate businesses to streamline their asset management workflows, collaborate more efficiently, as well as reduce the time and resources required to manage their digital assets. Bynder also integrates with other software tools, such as Adobe Creative Cloud, WordPress, and Salesforce, allowing seamless workflow integration. Aprimo Aprimo is a marketing operations platform provider that offers digital asset management, marketing resource management, and campaign management solutions. Businesses will be able to streamline marketing process workflows using the centralized platform. Aprimo's features include digital asset management, workflow automation, project management, budget tracking, and marketing performance analytics. With the company’s centralized platform, real estate businesses can optimize their marketing operations and drive innovation. The platform also enables businesses to collaborate on projects and measure the impact of marketing campaigns, leading to increased efficiency. 4.3 Project Portfolio Management Solutions Providers ClickUp ClickUp is an all-in-one productivity platform that offers a wide range of features, including task management, time tracking, calendars, and project reporting. Enterprises utilize the platform for creating Gantt charts, and tasks, tracking time, and reporting to stay on top of their projects and meet deadlines. The company enables effective project portfolio management, playing a crucial role in real estate asset management by helping businesses streamline their operations, optimize resources, reduce costs, mitigate risks, and drive innovation. Organizations can leverage this solution to ensure the effective delivery of projects, maintain alignment with strategic objectives, and ultimately achieve better outcomes for their real estate assets. Saviom Software Saviom Software provides futuristic resource management and workforce planning solutions that help real estate businesses optimize project portfolio resources, schedules, and budgets. Its solution offers features such as capacity planning, project scheduling, forecasting, and resource allocation, which are crucial for effective real estate asset and project portfolio management. It benefits real estate industry professionals by providing extensive features to improve project delivery times, resource utilization, and cost management. In addition, it enables real estate organizations to enhance team collaboration, automate manual processes, and reduce administrative burdens, leading to greater efficiency and profitability. Octalsoft Octalsoft is a project portfolio management solution provider that offers a comprehensive suite of tools to manage real estate assets efficiently. Its features include project planning, resource management, budgeting, and risk analysis. In addition, its project and portfolio management solution offers robust reporting and analytics capabilities, providing insights into project performance and identifying areas for improvement. By streamlining project management processes, Octalsoft's project and portfolio management solution drives innovation by allowing real estate asset management companies to focus on high-value activities and drive better outcomes. 5. Emerging Data-driven Asset Management Patterns Data-driven asset management is essential in the real estate industry, allowing businesses to optimize efficiency, improve tenant satisfaction, manage risks, and increase asset value and profitability. The emerging data-driven asset management patterns discussed showcase how businesses can leverage technology and data analytics to drive innovation. The variety of solutions offered by project portfolio management, property management, and digital asset management solution providers enable real estate businesses to streamline processes, increase collaboration, and make data-driven decisions. Investing in these solutions will help real estate businesses to remain competitive and achieve long-term success.

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Real Estate Technology

What is BIM and How Is It Changing the World of CRE?

Article | July 12, 2022

The construction industry has been slow to evolve, especially in the realm of commercial real estate (CRE). In many ways, the construction process is not dissimilar from how it was when the first skyscrapers were built. However, as technology begins to change various parts of the industry, especially how all stakeholders communicate, building information modeling (BIM) is playing a larger role. BIM stands for building information modeling, and it's essentially a way to create as detailed a model of a potential building as possible so that architects, developers, and construction managers can collaborate and answer questions before and during the construction process. The benefit of this is that all parties can share information and potentially avoid costly mistakes.

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THE BEST WAYS TO INVEST IN REAL ESTATE

Article | April 25, 2020

In short, in the case of real estate investment, the goal is to put money into work today and let it increase so you have more money in the future. The profits or “returns” you make on your real estate investments should be sufficient to cover the risk you take, the taxes you pay, and the cost of owning real estate investments such as utilities, regular maintenance, and insurance. Real estate investing can really be as conceptually simple as playing monopoly when you understand the basic factors of investment, finances, and risk. To win, you buy property, avoid bankruptcy, and generate rent so you can buy even more property. However, remember that “simple” does not mean “easy”. If you make a mistake, the consequences can range from minor inconveniences to major disasters. You may even find yourself abrupt or worse.

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Real Estate Technology

What role do circular economy ideas play in real estate?

Article | July 21, 2022

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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Real Estate Technology

Investing in real estate CRM? Top 8 features to improve customer experience

Article | July 25, 2022

Explore the potential of data-driven real estate in optimizing asset management and revolutionizing strategies. Learn how advanced technology is changing the future of real estate asset management. Contents 1. Importance of Data-driven Decision Making in Asset Management 2. Overcoming Difficulties to become Data-driven Real Estate Business 2.1 Availability of Data and Connectivity 2.2 Implementation of a Structured and Agile Development Process 2.3 Accelerating Speed and Reducing Costs 3. Benefits of Data-driven Real Estate Asset Management 3.1 Increased Efficiency and Cost Savings 3.2 Improved Tenant Satisfaction and Retention 3.3 Better Risk Management and Decision-making 3.4 Increased asset value and profitability 4. Data-driven Asset Management Solutions 4.1 Property Management Solutions Providers 4.2 Digital Asset Management Solutions Providers 4.3 Project Portfolio Management Solutions Providers 5. Emerging Data-driven Asset Management Patterns 1. Importance of Data-driven Decision Making in Asset Management Real estate asset management is a complex and competitive industry, presenting challenges for asset managers and portfolio managers. Gathering and analyzing information provides valuable insights for data-driven decision making, impacting the success of real estate investments. Decision-making through insights allows real estate asset managers, as well as portfolio managers, to identify trends for the future of digital real estate asset management, make accurate predictions, and forecast future outcomes. For example, data analytics can provide insights related to occupancy rates, rent growth, and lease renewals, which further helps in strategic decision-making for the future. 2. Overcoming Difficulties to Become Data-driven Real Estate Business Corporate real estate asset management requires strategic planning and informed decision-making. Utilizing data-driven approaches, valuable insights into commercial property performance can be gained, leading to optimized operations, reduced costs, and increased profits. However, implementing a data-driven approach comes with its own set of challenges. Therefore, executives and managers in the real estate industry need to understand how to overcome these difficulties and successfully transform their businesses through data-driven operations. Key challenges the businesses must address include data availability, structured processes, and cost efficiency, all of which are essential for improving the effectiveness of asset management in the long run. 2.1 Availability of Data and Connectivity Reliable data availability is a significant challenge in data-driven decision-making for real estate businesses, as the data generated is often fragmented and siloed across different departments. To overcome this challenge, businesses must invest in technology cloud-based platforms, APIs, and data warehouses to enable seamless data integration and connectivity across the organization. In addition, organizations must consider implementing an integrated data management system to analyze data from multiple sources, providing the decision-makers with a comprehensive view of the organization's performance. 2.2 Implementation of a Structured and Agile Development Process For businesses adopting a data-driven methodology, implementing a structured and agile development process is a major challenge. A data-driven approach requires a planned data collection, analysis, and decision-making process. At the same time, the process needs to be adaptable to the changing market conditions and business requirements. To overcome this challenge, businesses must establish a formal process for data-driven decision-making, including clear roles and responsibilities, data governance policies, regular reporting and analysis. This can be achieved by leveraging agile methodologies, DevOps practices, and automation tools. 2.3 Accelerating Speed and Reducing Costs Speed and cost reduction are critical challenges for real estate businesses that operate in a highly-competitive market Data-driven decision-making is time-consuming and expensive, demanding executives and managers to invest in tools that can automate the data analysis and decision-making process. It includes implementing artificial intelligence and machine learning algorithms to rapidly process large amounts of data and provide real-time insights to facilitate informed decision-making. 3. Benefits of Data-driven Real Estate Asset Management Data-driven real estate asset management has the potential to revolutionize the way real estate businesses operate. Businesses will be able to unlock valuable insights to enhance overall operations and drive innovation by leveraging asset management tools and techniques. 3.1 Increased Efficiency and Cost Savings Data-driven commercial real estate asset management services offer businesses a powerful tool for increasing efficiency. Businesses must automate their manual processes and optimize workflows to increase productivity by leveraging real estate automation tools. It will save time, money and improve the overall quality of service provided to tenants, leading to higher tenant satisfaction rates. Additionally, data-driven decision-making help businesses identify areas to reduce unnecessary expenses, like energy consumption or maintenance costs. 3.2 Improved Tenant Satisfaction and Retention Real estate businesses understand tenants better and improve satisfaction as well as retention rates by managing assets using data-driven methods. By analyzing demographics, behavior, and preferences data, businesses can determine tenants' needs regarding property and make informed decisions to improve services and tailor offerings accordingly. In addition, it leads to higher satisfaction rates and helps companies to retain tenants, which is crucial for long-term success in the real estate industry. 3.3 Better Risk Management and Decision-making Real estate enterprises can make more informed decisions and better manage risks with data-driven asset management. Businesses must use real estate data analytics tools to examine property performance, identify potential opportunities and risks. It improves the accuracy and reliability of their decision-making process and helps mitigate risks more effectively. Furthermore, by incorporating predictive analytics in the real estate decision-making process, businesses can anticipate future trends and proactively take measures to address potential issues before they occur. 3.4 Increased Asset Value and Profitability Data-driven real estate asset management help businesses improve the value and profitability of assets. Business intelligence in real estate helps interpret property management data. In addition, businesses can identify areas for improvement, like cost savings or increasing rental rates. It can result in improved asset value, leading to higher profitability. Furthermore, by analyzing data on market trends of real estate asset management and tenant behavior, businesses can also identify potential areas for investment, leading to increased profitability in the long run. 4. Data-driven Asset Management Solutions Data-driven asset management solutions help real estate businesses manage assets more efficiently and effectively. With data analytics, businesses will be able to streamline their operations, make better-informed decisions, and increase asset value. Ultimately, it will result in overcoming the difficulties in managing the assets and improving the portfolio performance. With the help of advanced technology and automation tools, one can stay ahead of the curve in the highly competitive market and achieve business objectives effectively. 4.1 Property Management Solutions Providers TenantCloud TenantCloud is a cloud-based property management solution provider that offers comprehensive tools and features for real estate businesses to manage their assets efficiently. Its property management software enables real estate executives and asset managers to automate their workflow, increase efficiency, and reduce costs by centralizing and streamlining their property management processes. Its platform provides real-time visibility into property performance, tenant behavior, and rental income, allowing businesses to make data-driven decisions and identify opportunities for growth. Its online portal also allows tenants to submit maintenance requests, pay rent online, and communicate with property managers seamlessly. London Computer Systems London Computer Systems (LCS) is a leading real estate asset management service provider established in 1987. Its flagship product, Rent Manager, is a Property Management Software that offers a comprehensive solution for property management, including integrated accounting, contact management, work orders, and marketing solutions. LCS offers Net Dial Tone VoIP telephone systems, enterprise-level hosting solutions, network design and support services, and custom website development. With its customer-focused approach and advanced technology, The company streamlines operations by eliminating the need for multiple programs and driving innovation in the real estate industry. DoorLoop DoorLoop is a cloud-based property management software that specializes in real estate software, commercial real estate PMS, and residential property management software. Its solutions offer a range of features, including lease management, rent collection, maintenance requests, accounting, and reporting. With DoorLoop, managers and executives in real estate businesses can easily manage their properties and tenants from a single platform, improving efficiency and streamlining processes. Guesty Guesty is an end-to-end property management solution provider that offers a comprehensive platform for managing short-term rental properties. Its features include multi-calendar management, automated messaging, dynamic pricing, guest communication, and channel management. With Guesty's intuitive and user-friendly dashboard, real estate businesses can easily manage their properties anywhere. Its innovative solutions help businesses stay ahead of the competition, enhance their efficiency, and drive growth in the real estate industry. 4.2 Digital Asset Management Solutions Providers Canto Canto is one of the leading digital asset management solution providers for visual communications to help real estate companies of all sizes. Established in 1990, Canto is one of the digital asset management industry pioneers. 2,500+ customers leverage Canto’s software to organize, find and share videos and images that helps to work faster and build a brand in this evolving digital ecosystem of real estate businesses. Bynder Bynder is a digital asset management solution provider that is a centralized platform for managing all marketing and creative assets. Its features include asset organization and categorization, asset distribution and sharing, digital rights management, and analytics. Its solution enables real estate businesses to streamline their asset management workflows, collaborate more efficiently, as well as reduce the time and resources required to manage their digital assets. Bynder also integrates with other software tools, such as Adobe Creative Cloud, WordPress, and Salesforce, allowing seamless workflow integration. Aprimo Aprimo is a marketing operations platform provider that offers digital asset management, marketing resource management, and campaign management solutions. Businesses will be able to streamline marketing process workflows using the centralized platform. Aprimo's features include digital asset management, workflow automation, project management, budget tracking, and marketing performance analytics. With the company’s centralized platform, real estate businesses can optimize their marketing operations and drive innovation. The platform also enables businesses to collaborate on projects and measure the impact of marketing campaigns, leading to increased efficiency. 4.3 Project Portfolio Management Solutions Providers ClickUp ClickUp is an all-in-one productivity platform that offers a wide range of features, including task management, time tracking, calendars, and project reporting. Enterprises utilize the platform for creating Gantt charts, and tasks, tracking time, and reporting to stay on top of their projects and meet deadlines. The company enables effective project portfolio management, playing a crucial role in real estate asset management by helping businesses streamline their operations, optimize resources, reduce costs, mitigate risks, and drive innovation. Organizations can leverage this solution to ensure the effective delivery of projects, maintain alignment with strategic objectives, and ultimately achieve better outcomes for their real estate assets. Saviom Software Saviom Software provides futuristic resource management and workforce planning solutions that help real estate businesses optimize project portfolio resources, schedules, and budgets. Its solution offers features such as capacity planning, project scheduling, forecasting, and resource allocation, which are crucial for effective real estate asset and project portfolio management. It benefits real estate industry professionals by providing extensive features to improve project delivery times, resource utilization, and cost management. In addition, it enables real estate organizations to enhance team collaboration, automate manual processes, and reduce administrative burdens, leading to greater efficiency and profitability. Octalsoft Octalsoft is a project portfolio management solution provider that offers a comprehensive suite of tools to manage real estate assets efficiently. Its features include project planning, resource management, budgeting, and risk analysis. In addition, its project and portfolio management solution offers robust reporting and analytics capabilities, providing insights into project performance and identifying areas for improvement. By streamlining project management processes, Octalsoft's project and portfolio management solution drives innovation by allowing real estate asset management companies to focus on high-value activities and drive better outcomes. 5. Emerging Data-driven Asset Management Patterns Data-driven asset management is essential in the real estate industry, allowing businesses to optimize efficiency, improve tenant satisfaction, manage risks, and increase asset value and profitability. The emerging data-driven asset management patterns discussed showcase how businesses can leverage technology and data analytics to drive innovation. The variety of solutions offered by project portfolio management, property management, and digital asset management solution providers enable real estate businesses to streamline processes, increase collaboration, and make data-driven decisions. Investing in these solutions will help real estate businesses to remain competitive and achieve long-term success.

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Real Estate Technology

Down Payment Assistance and How It Empowers Home Buyers

Article | July 12, 2022

The construction industry has been slow to evolve, especially in the realm of commercial real estate (CRE). In many ways, the construction process is not dissimilar from how it was when the first skyscrapers were built. However, as technology begins to change various parts of the industry, especially how all stakeholders communicate, building information modeling (BIM) is playing a larger role. BIM stands for building information modeling, and it's essentially a way to create as detailed a model of a potential building as possible so that architects, developers, and construction managers can collaborate and answer questions before and during the construction process. The benefit of this is that all parties can share information and potentially avoid costly mistakes.

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THE BEST WAYS TO INVEST IN REAL ESTATE

Article | April 25, 2020

In short, in the case of real estate investment, the goal is to put money into work today and let it increase so you have more money in the future. The profits or “returns” you make on your real estate investments should be sufficient to cover the risk you take, the taxes you pay, and the cost of owning real estate investments such as utilities, regular maintenance, and insurance. Real estate investing can really be as conceptually simple as playing monopoly when you understand the basic factors of investment, finances, and risk. To win, you buy property, avoid bankruptcy, and generate rent so you can buy even more property. However, remember that “simple” does not mean “easy”. If you make a mistake, the consequences can range from minor inconveniences to major disasters. You may even find yourself abrupt or worse.

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William Raveis Real Estate, Mortgage & Insurance

From Manhattan to Maine, Naples to Nantucket, William Raveis Real Estate, Mortgage & Insurance sets the gold standard for civilized real estate. Raveis.com is at the forefront of technology, serving as a wealth of information for the potential home buyer or seller with detailed searches and open houses, neighborhood mapping, market statistics and graphs, community and school information, and newsletters to keep you informed about the real estate market today. Welcome to Well-Connected. Welcome to Raveis.

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SmartRent Launches Alloy SmartHome Hub+

Business Wire | January 25, 2024

SmartRent, Inc., the leading provider of smart home and property operations solutions for the rental housing industry, today announced the launch of Alloy SmartHome Hub+, the Company’s first thermostat with an integrated smart hub device developed under its Alloy SmartHome hardware brand. This innovative product, one of few on the market that integrates a thermostat with a smart hub device, operates on Z-Wave protocol and has less hardware to install and maintain. In addition to the built-in thermostat technology, Alloy SmartHome Hub+ establishes a single interface to control connected smart home devices, enabling users to turn off multiple lights in a home at once, remotely lock and unlock doors, receive alerts and automatically notify maintenance when a sensor detects a leak. “Alloy SmartHome Hub+, a device years in the making, is our latest solution that paves the way for the next generation of smarter living and working in rental housing,” said SmartRent CEO Lucas Haldeman. “Designed with our customers’ needs in mind, and inclusive of the feedback they’ve shared about the desire for less hardware, Alloy SmartHome Hub+ delivers sophistication and convenience, all while driving rent growth. Feedback from our beta pilot has been positive, and customer interest indicates eager demand to deploy this solution at scale. We are proud to bring Alloy SmartHome Hub+ to the market at large and to continue eliminating obstacles and easing implementation in the industry.” This high-value yet economical device builds upon existing SmartRent technologies by consolidating the hub hardware within a smart thermostat, which streamlines procurement, expedites installation and IoT setup. Alloy SmartHome Hub+ can be configured and paired with most HVAC systems and is compatible with smart locks, smart lights, leak sensors and other Z-Wave devices. About SmartRent Founded in 2017, SmartRent, Inc. is a leading provider of smart home and smart property solutions for the multifamily industry. The company’s unmatched platform, comprised of smart hardware and cloud-based SaaS solutions, gives operators seamless visibility and control over real estate assets, empowering them to simplify operations, automate workflows, benefit from additional revenue opportunities and deliver exceptional site team and resident experiences. SmartRent serves 15 of the top 20 multifamily owners and operators, and its solutions enable millions of users to live smarter every day.

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Real Estate Technology

EVORA Global Announces Acquisition of Metry

Business Wire | January 25, 2024

EVORA Global, a leading provider of tech-enabled sustainability solutions to the real asset industry, today announces its strategic acquisition of Metry, Europe’s number one platform for environmental data collection. The move will establish new standards in data excellence and technological innovation, delivering comprehensive data solutions for the global real estate and infrastructure investment industry. The acquisition signifies an improved level of data automation and quality for EVORA’s clients, achieved through direct connections to fiscal meters and hubs. This approach eliminates data gaps and reinforces the overall reliability of information provided into their analytics and content management platform, SIERA. EVORA's dedication to data quality and validation underscores the company's commitment to ensuring that all sustainability data is analytics-ready, combining external data sources with EVORA's expertise in regulations and carbon accounting, whilst simultaneously upholding the highest standards in the industry. Metry's customers will gain access to EVORA's expertise in setting strategy and implementing net-zero carbon initiatives in their real asset portfolios, broadening the value proposition available to them. This collaborative expertise - integrating human insights with advanced technology - is a testament to the forward-thinking approach of both companies. "We are thrilled to welcome Metry into the EVORA family," said Pradeep Menon, EVORA Global CEO. "This strategic acquisition marks a significant milestone in our journey to empower real asset investors with the tools and data needed to drive sustainable practices in the built environment. It will enable us to offer unparalleled services to our clients, solving for the climate challenge.” “This the perfect match,” said Magnus Hornef, Metry CEO and co-founder, who will be joining EVORA’s Executive Committee as Chief Data Officer. “We are enabling each other to make a bigger impact faster and I’m really excited about expanding our data collection capabilities to all of EVORA’s customers. It is a giant leap towards connecting every building with reliable data and automated collection.” About EVORA Global: EVORA Global is a premier sustainability advisor, providing comprehensive, industry-leading climate solutions for real asset investors. With over a decade of experience, EVORA is dedicated to addressing the climate challenge posed by the real asset industry, focusing on the needs of investors in the built environment. Its clients include many of the biggest names in global real estate, including Invesco Real Estate, Hines and M&G. Founded in 2011, the company now has over 200 staff and 150 clients. About Metry: Metry is the #1 platform for environmental data collection in Europe, with a primary focus on energy data. With over a decade of expertise, Metry empowers companies to develop and use energy-saving technologies and IoT solutions, contributing to real change for the environment. Currently serving over 200 companies in more than 10 countries, Metry is actively expanding internationally to offer full data collection coverage in Europe.

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Real Estate Technology

Cushman & Wakefield Collaborates with Microsoft to Enhance AI Technology Platform

Business Wire | January 25, 2024

Cushman & Wakefield, a global leader in real estate services, today announced the firm is working with Microsoft to deploy an advanced suite of artificial intelligence (AI) solutions. “We are committed to seamlessly integrating our people with the right technology and processes to enhance service offerings to our clients. Today’s launch of the use of Microsoft Azure OpenAI Service and Copilot for Microsoft 365 at Cushman & Wakefield again demonstrates our ability to pair robust technologies with market intelligence and expertise,” said Salumeh Companieh, Chief Information & Data Officer, Cushman & Wakefield. Since 2018, Cushman & Wakefield has been focused on aligning business, data, and operations. Results to date range from an 80% material reduction in operational cycle time, to a reduction of client supply chain costs via proprietary supply chain network optimization capabilities. Azure OpenAI Service Azure OpenAI Service is a cloud-based generative AI solution that offers customers a range of capabilities, including access to cutting-edge AI models, backed by the power of Azure. With Azure OpenAI Service, Cushman & Wakefield can benefit from the power of cloud computing, data analytics, and artificial intelligence to deliver innovative solutions for its clients and stakeholders. Azure OpenAI Service enables Cushman & Wakefield to create custom copilots that can enhance customer experience, improve operational efficiency, and increase competitive advantage. The platform enables developers to build, deploy, and manage AI solutions for various scenarios and domains. Some of the features of Azure OpenAI Service include machine learning, cognitive services, bot framework, computer vision, natural language processing, speech recognition and more. Microsoft Technology Centers Microsoft Technology Centers are facilities that provide immersive experiences and deep technical engagements in 50+ locations around the world. Microsoft Technology Center architects collaborate with academic, industry, and government partners to advance the state of the art in AI and create positive impact for society. The Microsoft Technology Center is providing Cushman & Wakefield with access to cutting-edge research, tools, and top specialists from Microsoft and its partners to develop powerful and adaptable applications that use AI features. It is also providing insight into various areas and problems that need AI solutions, with learning and improvement through feedback and advice. Copilot for Microsoft 365 Copilot for Microsoft 365 brings the power of next-generation AI, grounded in the user and company’s data, to Microsoft’s workplace productivity tools like Teams and Outlook and Word. It works alongside users to provide suggestions, summaries, generate, analyze and explore content and data across documents, presentations, spreadsheets, notes, chats, email, meetings, and more. Ensuring the safety and security of interactions with Generative AI is a crucial value driver for Cushman & Wakefield. Copilot for Microsoft 365 offers a high level of security for how the firm leverages GPT models, providing confidence that data is not exposed for training and does not leave the company’s ecosystem, thus safeguarding confidential information. “With this next generation of AI, we have a unique opportunity to accelerate innovation at Cushman & Wakefield and across commercial real estate,” said Laura Craig, General Manager, Data & AI, Microsoft. “We’re collaborating with Cushman & Wakefield to bring together AI advances that benefit from Microsoft Azure OpenAI Service and Copilot for Microsoft 365 to empower the firm’s professionals with new, AI-powered tools.” About Cushman & Wakefield Cushman & Wakefield is a leading global commercial real estate services firm for property owners and occupiers with approximately 52,000 employees in approximately 400 offices and 60 countries. In 2022, the firm reported revenue of $10.1 billion across its core services of property, facilities and project management, leasing, capital markets, and valuation and other services. It also receives numerous industry and business accolades for its award-winning culture and commitment to Diversity, Equity and Inclusion (DEI), Environmental, Social and Governance (ESG) and more.

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Real Estate Technology

SmartRent Launches Alloy SmartHome Hub+

Business Wire | January 25, 2024

SmartRent, Inc., the leading provider of smart home and property operations solutions for the rental housing industry, today announced the launch of Alloy SmartHome Hub+, the Company’s first thermostat with an integrated smart hub device developed under its Alloy SmartHome hardware brand. This innovative product, one of few on the market that integrates a thermostat with a smart hub device, operates on Z-Wave protocol and has less hardware to install and maintain. In addition to the built-in thermostat technology, Alloy SmartHome Hub+ establishes a single interface to control connected smart home devices, enabling users to turn off multiple lights in a home at once, remotely lock and unlock doors, receive alerts and automatically notify maintenance when a sensor detects a leak. “Alloy SmartHome Hub+, a device years in the making, is our latest solution that paves the way for the next generation of smarter living and working in rental housing,” said SmartRent CEO Lucas Haldeman. “Designed with our customers’ needs in mind, and inclusive of the feedback they’ve shared about the desire for less hardware, Alloy SmartHome Hub+ delivers sophistication and convenience, all while driving rent growth. Feedback from our beta pilot has been positive, and customer interest indicates eager demand to deploy this solution at scale. We are proud to bring Alloy SmartHome Hub+ to the market at large and to continue eliminating obstacles and easing implementation in the industry.” This high-value yet economical device builds upon existing SmartRent technologies by consolidating the hub hardware within a smart thermostat, which streamlines procurement, expedites installation and IoT setup. Alloy SmartHome Hub+ can be configured and paired with most HVAC systems and is compatible with smart locks, smart lights, leak sensors and other Z-Wave devices. About SmartRent Founded in 2017, SmartRent, Inc. is a leading provider of smart home and smart property solutions for the multifamily industry. The company’s unmatched platform, comprised of smart hardware and cloud-based SaaS solutions, gives operators seamless visibility and control over real estate assets, empowering them to simplify operations, automate workflows, benefit from additional revenue opportunities and deliver exceptional site team and resident experiences. SmartRent serves 15 of the top 20 multifamily owners and operators, and its solutions enable millions of users to live smarter every day.

Read More

Real Estate Technology

EVORA Global Announces Acquisition of Metry

Business Wire | January 25, 2024

EVORA Global, a leading provider of tech-enabled sustainability solutions to the real asset industry, today announces its strategic acquisition of Metry, Europe’s number one platform for environmental data collection. The move will establish new standards in data excellence and technological innovation, delivering comprehensive data solutions for the global real estate and infrastructure investment industry. The acquisition signifies an improved level of data automation and quality for EVORA’s clients, achieved through direct connections to fiscal meters and hubs. This approach eliminates data gaps and reinforces the overall reliability of information provided into their analytics and content management platform, SIERA. EVORA's dedication to data quality and validation underscores the company's commitment to ensuring that all sustainability data is analytics-ready, combining external data sources with EVORA's expertise in regulations and carbon accounting, whilst simultaneously upholding the highest standards in the industry. Metry's customers will gain access to EVORA's expertise in setting strategy and implementing net-zero carbon initiatives in their real asset portfolios, broadening the value proposition available to them. This collaborative expertise - integrating human insights with advanced technology - is a testament to the forward-thinking approach of both companies. "We are thrilled to welcome Metry into the EVORA family," said Pradeep Menon, EVORA Global CEO. "This strategic acquisition marks a significant milestone in our journey to empower real asset investors with the tools and data needed to drive sustainable practices in the built environment. It will enable us to offer unparalleled services to our clients, solving for the climate challenge.” “This the perfect match,” said Magnus Hornef, Metry CEO and co-founder, who will be joining EVORA’s Executive Committee as Chief Data Officer. “We are enabling each other to make a bigger impact faster and I’m really excited about expanding our data collection capabilities to all of EVORA’s customers. It is a giant leap towards connecting every building with reliable data and automated collection.” About EVORA Global: EVORA Global is a premier sustainability advisor, providing comprehensive, industry-leading climate solutions for real asset investors. With over a decade of experience, EVORA is dedicated to addressing the climate challenge posed by the real asset industry, focusing on the needs of investors in the built environment. Its clients include many of the biggest names in global real estate, including Invesco Real Estate, Hines and M&G. Founded in 2011, the company now has over 200 staff and 150 clients. About Metry: Metry is the #1 platform for environmental data collection in Europe, with a primary focus on energy data. With over a decade of expertise, Metry empowers companies to develop and use energy-saving technologies and IoT solutions, contributing to real change for the environment. Currently serving over 200 companies in more than 10 countries, Metry is actively expanding internationally to offer full data collection coverage in Europe.

Read More

Real Estate Technology

Cushman & Wakefield Collaborates with Microsoft to Enhance AI Technology Platform

Business Wire | January 25, 2024

Cushman & Wakefield, a global leader in real estate services, today announced the firm is working with Microsoft to deploy an advanced suite of artificial intelligence (AI) solutions. “We are committed to seamlessly integrating our people with the right technology and processes to enhance service offerings to our clients. Today’s launch of the use of Microsoft Azure OpenAI Service and Copilot for Microsoft 365 at Cushman & Wakefield again demonstrates our ability to pair robust technologies with market intelligence and expertise,” said Salumeh Companieh, Chief Information & Data Officer, Cushman & Wakefield. Since 2018, Cushman & Wakefield has been focused on aligning business, data, and operations. Results to date range from an 80% material reduction in operational cycle time, to a reduction of client supply chain costs via proprietary supply chain network optimization capabilities. Azure OpenAI Service Azure OpenAI Service is a cloud-based generative AI solution that offers customers a range of capabilities, including access to cutting-edge AI models, backed by the power of Azure. With Azure OpenAI Service, Cushman & Wakefield can benefit from the power of cloud computing, data analytics, and artificial intelligence to deliver innovative solutions for its clients and stakeholders. Azure OpenAI Service enables Cushman & Wakefield to create custom copilots that can enhance customer experience, improve operational efficiency, and increase competitive advantage. The platform enables developers to build, deploy, and manage AI solutions for various scenarios and domains. Some of the features of Azure OpenAI Service include machine learning, cognitive services, bot framework, computer vision, natural language processing, speech recognition and more. Microsoft Technology Centers Microsoft Technology Centers are facilities that provide immersive experiences and deep technical engagements in 50+ locations around the world. Microsoft Technology Center architects collaborate with academic, industry, and government partners to advance the state of the art in AI and create positive impact for society. The Microsoft Technology Center is providing Cushman & Wakefield with access to cutting-edge research, tools, and top specialists from Microsoft and its partners to develop powerful and adaptable applications that use AI features. It is also providing insight into various areas and problems that need AI solutions, with learning and improvement through feedback and advice. Copilot for Microsoft 365 Copilot for Microsoft 365 brings the power of next-generation AI, grounded in the user and company’s data, to Microsoft’s workplace productivity tools like Teams and Outlook and Word. It works alongside users to provide suggestions, summaries, generate, analyze and explore content and data across documents, presentations, spreadsheets, notes, chats, email, meetings, and more. Ensuring the safety and security of interactions with Generative AI is a crucial value driver for Cushman & Wakefield. Copilot for Microsoft 365 offers a high level of security for how the firm leverages GPT models, providing confidence that data is not exposed for training and does not leave the company’s ecosystem, thus safeguarding confidential information. “With this next generation of AI, we have a unique opportunity to accelerate innovation at Cushman & Wakefield and across commercial real estate,” said Laura Craig, General Manager, Data & AI, Microsoft. “We’re collaborating with Cushman & Wakefield to bring together AI advances that benefit from Microsoft Azure OpenAI Service and Copilot for Microsoft 365 to empower the firm’s professionals with new, AI-powered tools.” About Cushman & Wakefield Cushman & Wakefield is a leading global commercial real estate services firm for property owners and occupiers with approximately 52,000 employees in approximately 400 offices and 60 countries. In 2022, the firm reported revenue of $10.1 billion across its core services of property, facilities and project management, leasing, capital markets, and valuation and other services. It also receives numerous industry and business accolades for its award-winning culture and commitment to Diversity, Equity and Inclusion (DEI), Environmental, Social and Governance (ESG) and more.

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