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In the fast-paced and dynamic world of Commercial Real Estate (CRE), data is the cornerstone that empowers businesses to make informed and strategic decisions. Recognizing the crucial role of accurate and insightful data, Unacast emerges as an industry leader of reliability and innovation, providing unparalleled location intelligence to businesses primarily in the retail, real estate, and financial services sectors.

Navigating through a market saturated with data companies, each promising to unlock the secret to successful business operations, may be daunting. The challenge intensifies when businesses grapple with unreliable data sources that muddy decision-making processes and strategies. Unacast stands out in this crowded landscape, offering both location data and location analytics software, seamlessly integrated and amplified by AI and machine learning. This potent combination not only facilitates swift decision-making but also ensures that every decision is the right one, steering your business towards success and stability in an unpredictable market. To learn more about Unacast’s offering, book a meeting.

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What is Commercial Real Estate Data?

Commercial Real Estate Data (CRE Data) encompasses information related to properties and transactions that occur in the commercial real estate sector. This data is invaluable for various stakeholders, including investors, brokers, and business owners, aiding them in making informed decisions aligned with market trends and economic indicators.

There are various types of CRE data. One category includes property data, which contains details about the property’s location, size, age, and use type (office, retail, industrial, etc.). Transaction data is another vital category, encapsulating information on sales, leases, and property financing details, providing insights into market demand and valuation.

Amidst the myriad of data, the challenge of identifying accurate and relevant information looms large. Here’s where Unacast plays a pivotal role. Our AI and machine learning-enhanced location data and analytics software sift through the noise, offering stakeholders precise and actionable CRE data. With Unacast, businesses gain access to data that is not just vast but also verified and valuable, effectively supporting various functions, from market analysis to investment evaluation.

Understanding and utilizing CRE Data is non-negotiable in the modern market landscape, serving as the bedrock for strategic planning and execution in the commercial real estate sector. Unacast’s commitment to providing reliable and insightful data ensures that your business is always a step ahead, armed with information that drives success and innovation. Whether you are in retail, real estate, or financial services, Unacast’s CRE data is your ally in navigating through the complex and ever-evolving commercial real estate market with confidence and foresight.

History of Using Commercial Real Estate Data

The utilization of Commercial Real Estate Data (CRE Data) has evolved significantly over time, parallel to technological advancements and the ever-changing dynamics of the real estate market. Initially, CRE Data was primarily recorded and analyzed manually, a time-consuming process that often resulted in data inaccuracies and limited accessibility.

With the advent of computerization in the late 20th century, the collection and analysis of CRE Data became more streamlined and accurate. This digital transformation allowed for more comprehensive data sets, encompassing various aspects of properties and transactions, thus providing deeper insights into the market.

In recent years, AI and machine learning have revolutionized the use of CRE Data, offering unprecedented accuracy and predictive capabilities. Unacast has been at the forefront of this technological evolution, employing cutting-edge AI and machine learning technologies to provide clients with precise and insightful location data and analytics. These advancements by Unacast ensure that businesses can not only access reliable data swiftly but can also derive actionable insights that are crucial for strategic planning and decision-making.

How Commercial Real Estate Data is Used to Enhance Location Intelligence

Location Intelligence refers to the use of spatial data in making insightful and informed business decisions. It’s an indispensable tool for companies in the retail, real estate, and financial sectors, among others. CRE Data plays a pivotal role in enhancing Location Intelligence by providing crucial information on properties and market trends.

In the realm of retail, for example, Location Intelligence informed by CRE Data can aid businesses in selecting optimal locations for new stores, understanding consumer behavior, and devising targeted marketing strategies. For real estate professionals, this data is vital for property valuation, investment analysis, and identifying emerging markets.

The integration of AI and machine learning further amplifies the power of CRE Data in enhancing Location Intelligence. These technologies enable businesses to forecast market shifts, understand the implications of geographical locations on property values, and predict tenant renewal rates with higher accuracy.

Leveraging Commercial Real Estate Data: Best Practices

Navigating the complex landscape of Commercial Real Estate Data (CRE Data) demands a strategic approach grounded in best practices to yield optimal benefits. In an environment where unreliable data sources are prevalent, ensuring accuracy and relevance of information is paramount.

The first best practice is to utilize AI and machine learning-enhanced CRE Data. These technologies significantly improve data reliability and insight generation, offering businesses a competitive edge. Unacast's advanced location data and analytics software integrate these technologies seamlessly, presenting users with a reliable platform for informed decision-making.

Secondly, always engage with trusted and credible data providers. The recent proliferation of data companies in the market makes it imperative for businesses to collaborate with established firms that guarantee not just volume, but also data integrity and accuracy. It's important to ensure that any location data you're working with is validated against ground truth, and that it employs rigorous methodology for aggregating insights.

Finally, incorporate continuous learning and feedback loops in your data utilization strategies. The real estate market is dynamic, with shifting trends and patterns; staying adaptable and responsive to these changes is crucial. Unacast supports this adaptive approach by providing timely and accurate data, allowing businesses to stay ahead in their strategic planning and execution. To learn more about Unacast, book a meeting.

Ways Commercial Real Estate Data Influences Business Decisions

Commercial Real Estate Data is a linchpin for business decision-making processes across various industries. In retail, CRE Data informs site selection, helping retailers identify locations that maximize visibility and customer foot traffic. Unacast’s precise location data aids retailers in understanding consumer behavior in specific areas, facilitating the creation of effective marketing strategies and improving store performance.

For real estate professionals, CRE Data is instrumental in property valuation and investment analysis. It provides a clear picture of market status and trends, assisting in making investment decisions that yield high returns. Unacast's solutions empower real estate professionals by providing insights into tenant behaviors, market changes, and foot traffic to properties, all of which help determine actual property values.

In the financial services sector, accurate CRE Data is crucial for risk assessment and management. It offers insights into the financial health and stability of properties, assisting financial institutions in making lending decisions with minimized risk. With Unacast, these institutions can access reliable data that enables them to forecast property performance and market trends effectively.

Each decision made with the support of robust CRE Data provided by Unacast is a step toward operational excellence and strategic success. By addressing the challenges posed by unreliable data sources and market shifts, Unacast’s location data and analytics software are indispensable tools for businesses looking to make informed, data-driven decisions in today’s competitive and ever-evolving market landscape.

Types of Businesses That Use Commercial Real Estate Data

Commercial Real Estate Data (CRE Data) is indispensable across various business types, primarily serving the retail, real estate, and financial services industries.

Retail Industry: Retail businesses leverage CRE Data to identify prime locations that guarantee high foot traffic and align with their target demographic profiles. Through Unacast's detailed location data, retailers can effectively analyze consumer patterns and behaviors in specific areas, optimizing store placements and marketing strategies to enhance profitability and customer engagement.

Real Estate Sector: Professionals in real estate heavily rely on CRE Data for investment analysis, property valuation, and market trend identification. Unacast's solutions offer accurate insights into foot traffic history, trade area analysis, and market changes. This invaluable information supports investors, brokers, and developers in making informed decisions that contribute to successful property acquisitions, developments, and sales.

Financial Services: For financial institutions, CRE Data is crucial for risk assessment, loan underwriting, and investment portfolio management. Unacast’s reliable data sources provide comprehensive insights into the financial viability and market value of properties, enabling these institutions to minimize risk while maximizing investment returns.

Each of these sectors utilizes CRE Data uniquely, addressing their specific challenges and objectives with the support of Unacast's precise and reliable location data and analytics software. Book a meeting with Unacast to learn more.


Understanding and effectively utilizing Commercial Real Estate Data is imperative for businesses aiming for strategic success in the modern market. With challenges such as unreliable data sources and rapid market shifts affecting tenant renewal rates and property values, having a trusted partner becomes indispensable.

Unacast provides both location data and location analytics software amplified by AI and machine learning, ensuring businesses have access to data that is not only vast but verified and valuable. This enriched data allows for quick, informed decision-making, providing a strategic advantage to retailers, real estate professionals, and financial service providers alike.

In a marketplace characterized by its dynamic and competitive nature, aligning with Unacast's innovative data solutions guarantees your business navigates with confidence and insight. Every piece of data you receive is rigorously analyzed and verified, offering you a reliable foundation for all your strategic planning and decision-making needs.

For businesses ready to transform their approach to CRE Data and unlock new possibilities for strategic success, there are opportunities to uncover with location data. Explore how our location data and analytics software can empower your business with the insights needed to not just navigate but excel in today’s complex market landscape.

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Frequently Asked Questions about Commercial Real Estate (CRE) Data

What is Commercial Real Estate Data (CRE Data)?

Commercial Real Estate Data (CRE Data) consists of detailed information related to properties and transactions within the commercial real estate sector. This broad spectrum of data is vital for stakeholders such as investors, brokers, and business owners, providing the necessary insights that guide informed and strategic decision-making. CRE Data encompasses a variety of elements, including but not limited to, specific property details like location, size, age, and usage type (office, retail, industrial, etc.), as well as transaction data, which encapsulates sales, leases, and financing details of properties. Transaction data is particularly insightful as it reflects market demand and property valuations, providing a clear picture of the commercial real estate landscape. With the dynamic and competitive nature of today's market, having access to precise and reliable CRE Data has become non-negotiable for businesses aiming for success and sustainability in the field.

How has the use of Commercial Real Estate (CRE) Data evolved over time?

The usage and reliance on Commercial Real Estate Data have experienced significant transformation and refinement over time. Initially, the processes of collecting, recording, and analyzing CRE Data were predominantly manual, often resulting in inaccuracies and limited accessibility due to human errors and constrained dissemination of information. The late 20th century witnessed a digital revolution, fundamentally altering how CRE Data was handled. Computerization streamlined data collection and analysis, providing a platform for more accurate and expansive datasets, thereby offering deeper and more reliable market insights. In recent years, technological advancements have further refined CRE Data utilization with the advent of AI and machine learning. These cutting-edge technologies have bestowed the data with unprecedented levels of accuracy and predictive capabilities, enabling businesses to derive actionable insights crucial for strategic planning and decision-making efficiently and effectively.

How does Commercial Real Estate (CRE) Data enhance Location Intelligence?

Location Intelligence is the analytical process that utilizes spatial data to make informed business decisions. Commercial Real Estate Data plays a crucial role in augmenting Location Intelligence by providing vital data on properties, transactions, and prevailing market trends. In retail, Location Intelligence, fortified by CRE Data, aids businesses in pinpointing ideal locations for new stores by understanding and predicting consumer behaviors and movements in specific geographical locales. For real estate professionals, CRE Data becomes indispensable for accurately valuing properties, analyzing potential investments, and identifying emergent market trends that could influence strategic planning and decision-making. The fusion of AI and machine learning with CRE Data provides an additional layer of precision and predictive power, enabling businesses to anticipate market shifts, understand geographical implications on property values, and forecast tenant renewal rates with higher accuracy and confidence.

What are the best practices for leveraging Commercial Real Estate (CRE) Data?

Leveraging Commercial Real Estate Data effectively necessitates adherence to several best practices to optimize the benefits derived from the data. First and foremost, engaging with AI and machine-learning enhanced CRE Data is crucial. The integration of these advanced technologies significantly refines data accuracy and the generation of insights, providing a tangible competitive edge to businesses navigating the complex commercial real estate landscape. Employing data from trusted and credible providers is another pivotal best practice. With a plethora of data companies emerging, businesses must exercise due diligence in selecting partners that offer not only voluminous data but also ensure the integrity and accuracy of this data. In this regard, Unacast’s stellar reputation and proven track record as a leading provider of location intelligence offer businesses a reliable and trustworthy data partnership. Lastly, adopting a strategy of continuous learning and incorporating feedback loops into data utilization practices is essential. The commercial real estate market is inherently dynamic, with trends and patterns in constant flux. Being adaptable and responsive to these changes is integral for businesses aiming to stay ahead and capitalize on market opportunities as they arise.


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