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Washington, United States
1-10 Employees
2021
Leverage our services to add value to your team without the commitment of a full-time hire. Capitol Analytics provides experienced financial modeling, underwriting and portfolio management in the Commercial Real Estate space. We believe the perfect client experience is achieved by encompassing experiences enough to anticipate situations that may arise and providing effective solutions that benefit all parties involved. Through our flexible services, we are equipped to aid in modeling or underwrite a single property at an hourly rate.
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Commercial Real Estate Analytics
... Capitol Analytics – Commercial Real Estate Analytics ...
London, United Kingdom
1-10 Employees
2021
Let us help you build the right analytical tools, so you can focus on making strategic decisions on your investments, portfolio and fund strategies and business development.
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Delivering bespoke real estate investment analytics and reporting solutions that improve transparency, flexibility, and efficiency.
... Qlarity delivers real estate analytics, financial modelling, and reporting solutions to improve cash flow forecasting, quantitative analysis, as well as investor and internal reporting. ...
Montreal, Canada
1-10 Employees
2020
Our set of analytics and data sets offers your client with all the information they need to make an action. Provide nearby school data to your prospects so they can make an informed decision.
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7Square: Real Estate Analytics & Insights
... 7Square: Real Estate Analytics & ...
Atlanta, United States
1-10 Employees
1993
LakeRock Capital attained its name from granite rock formations in Queens Lake in the City of South Fulton in the Atlanta, GA MSA. So, we are attentive to every detail and are determined. We are thoughtful in our approach to each task. LakeRock Capital began as MARINA Capital in Marina del Rey, CA. LakeRock started with an RTC subcontract to assist in the closure of Home Federal Savings in San Diego, CA. We provide you with a document checklist so that you have the information you need to make the proper investment/financing decisions. We are always looking for contractors to place into our database. Our goal is to return every call within 24 hours.
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Commercial Real Estate Analytics
... Commercial Real Estate Analytics ...
New York, United States
1-10 Employees
2020
Our mission is to help you find where to invest & why in 1 minute. We are committed to providing a comprehensive market study so that you can simplify your deal sourcing process and save time. We are working hard to lower the barriers for real estate data and networking. Today, we are Market Stadium, Your Real Estate Market Navigator. We provide the following urban planning based analyses to help users make more unique and informed decisions. Market Stadium offers only the most essential information tailored for making successful investment decisions. Maria is in charge of the overall product design.
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Real Estate Analytics & Urban Intelligence Combined into One Platform
... Real Estate Analytics & Urban Intelligence Combined into One ...
New York, United States
51-100 Employees
2010
Sterling Project Development is a full-service development management and advisory firm focused on complex real estate projects worldwide. As an affiliate of Sterling Equities, a highly regarded national real estate owner manager founded over 50 years ago, we bring our inherent owner's mentality to every project we undertake. Since SPD is family-owned, we are independent of third-party financial or brokerage control, allowing us to determine the focus and trajectory of the firm without the potential for the misaligning interests of our clients. This starts with work that supports climate change initiatives and extends to mission-driven work benefiting cities and the citizens within them. Whether our role is to provide advisory services or to actively manage all aspects of development, SPD is committed to the highest standards of integrity, excellence, inclusion and respect on behalf of our clients as well as our own work environment.
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Home
... SPD excels at navigating all aspects of real estate analytics, entitlement, design, construction and dispute resolution. ...
Espoo, Finland
11-50 Employees
2015
We are a multi-cultural crowd hailing from 17 different countries. We are standard-agnostic, currently operating in 13 market areas worldwide. The SkenarioLabs platform is designed to help users accurately, efficiently and profitably future-proof their properties. UK HQ:SkenarioLabs Ltd.GeovationSutton Yard65 Goswell RoadEC1V 7EN, LondonUnited Kingdom. Our specialist real estate technology combines data, science, statistics and proprietary AI algorithms to deliver accurate, efficient and objective data for all real estate classes. Founded in Finland in 2015, SkenarioLabs was born from the aspirations of three engineers who wanted to harness data to change the real estate world for the better. Our ethos has always been to work with like-minded partners who are dedicated to improving their environmental impact and accelerating sustainable practices across the entire real estate sector. To provide an objective risk and value analytics platform that facilitates the transformation of all existing and future real estate into sustainable assets.
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real estate analytics company
... estate sustainable through our objective risk and value analytics platform with its focus on accurately, efficiently and profitably future-proofing our buildings. mission We want to make our easy-to-use transparent real estate analytics platform equally accessible to all property owners, ...
Pretoria, South Africa
251-500 Employees
2020
Our mission is to enable developers and owners of infrastructure to realise the current and developing benefits of IoT and related Artificial Intelligence capabilities to achieve extraordinary efficiency and effective returns from their investments over the life-cycle of the asset/s invested in and to achieve the best possible environmental and safety performance in tandem with normal running conditions. We are a group of highly skilled individuals with a diverse background spread globally. B Building on industry 4.0 and IIoT (Industrial Internet of Things) advancements, our vision it to leverage advanced data and information science to optimally realize the value of capital investments in physical infrastructure assets over the complete asset lifecycle. WE OFFER A RANGE OF DIFFERENT SOLUTIONS AVAILABLE. WE SPECIALISE IN DATA ANALYTICS AND OFFER THE FOLLOWING SERVICES.
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RE DIGITAL – Real Estate Data Analytics
... RE DIGITAL – Real Estate Data Analytics ...
Technologies which have been searched by others and may be interesting for you:
Some interesting numbers and facts about the results you have just received for Real Estate Analytics
| Country with most fitting companies | United States |
| Amount of fitting manufacturers | 42 |
| Amount of suitable service providers | 46 |
| Average amount of employees | 11-50 |
| Oldest suiting company | 1993 |
| Youngest suiting company | 2021 |
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Real estate analytics refers to the systematic computational analysis of data or statistics related to real estate. It encompasses a broad spectrum of activities, including the examination of historical and current real estate market trends, investment analysis, property valuation, and forecasting future market movements. By leveraging both traditional data sources, such as property transaction records and demographic information, alongside more contemporary data streams from social media and IoT devices, real estate analytics provides a multi-dimensional view of the real estate market. This in-depth analysis aids investors, property managers, and real estate professionals in making informed decisions, optimizing investment returns, and identifying potential market risks. Furthermore, real estate analytics plays a pivotal role in enhancing the operational efficiency of property management through predictive maintenance and occupancy predictions. It also empowers urban planners and policy makers with invaluable insights for sustainable urban development and the effective allocation of resources. In essence, real estate analytics is a cornerstone of strategic planning and decision-making in the real estate sector, driving both economic value and innovation. Through its ability to synthesize vast amounts of data into actionable intelligence, it significantly impacts investment strategies, market competitiveness, and the overall health of the real estate industry.
1. Enhanced Decision Making
Real estate analytics offer unparalleled insights into market trends, allowing investors and developers to make informed decisions. By leveraging data on past and current market conditions, stakeholders can forecast future market movements more accurately, optimizing their investment strategies.
2. Improved Risk Management
The predictive capabilities of real estate analytics tools enable users to identify potential risks and uncertainties in the market. This foresight helps in devising contingency plans, significantly reducing the likelihood of financial losses.
3. Increased Operational Efficiency
By automating the collection and analysis of large volumes of data, real estate analytics save time and resources that would otherwise be spent on manual data processing. This efficiency allows businesses to focus on strategy and innovation, rather than getting bogged down by administrative tasks.
4. Customized Investment Opportunities
Real estate analytics tools provide insights tailored to the specific needs and preferences of investors, offering a personalized approach to property investment. This customization ensures that each investor can identify opportunities that align perfectly with their investment goals and risk tolerance.
While evaluating the different suppliers make sure to check the following criteria:
1. Data Accuracy and Reliability
Ensure the supplier has a proven track record of providing accurate and reliable data. This is crucial for making informed decisions.
2. Comprehensive Coverage
Look for suppliers that offer a wide range of data, including historical trends, demographic insights, and market forecasts.
3. Real-Time Data Access
The ability to access real-time data can be a game-changer, allowing for timely analysis and decision-making.
4. User-Friendly Interface
Choose a supplier with an intuitive interface, making data analysis simpler and more efficient for users of all skill levels.
5. Customization Options
The best suppliers provide customizable reports and analytics to meet your specific needs.
6. Customer Support and Training
Good customer support and adequate training are essential for leveraging the full potential of real estate analytics tools.
7. Cost-Effectiveness
While cost should not be the only criterion, it is important to ensure that the services offered provide good value for money.
Real estate analytics play a vital role in the retail industry by enabling businesses to optimize their store locations. Through the analysis of foot traffic, demographic data, and consumer behavior, companies can identify prime locations that maximize visibility and accessibility to their target market. This strategic placement directly contributes to increased customer footfall and sales. In the commercial real estate sector, analytics are employed to enhance investment decisions. Investors and developers rely on data-driven insights to assess property values, predict market trends, and identify lucrative investment opportunities. This approach minimizes risks and maximizes ROI by ensuring informed decisions are made based on comprehensive market analysis. Facility management is another area where real estate analytics are transforming operations. By analyzing space utilization and occupancy data, businesses can optimize their use of real estate assets. This optimization can lead to significant cost savings, improved employee productivity, and enhanced workplace environments by aligning the physical space with actual usage patterns. Lastly, in the banking and finance industry, real estate analytics assist in evaluating mortgage and loan risks. Financial institutions analyze property values, market trends, and economic indicators to assess the risk profile of real estate loans. This critical analysis supports the development of more accurate risk management strategies and lending criteria, safeguarding against potential defaults.
Real estate analytics currently stands at a high Technology Readiness Level (TRL), approximately between 8 and 9, demonstrating its advanced stage of development and widespread practical application. This positioning is largely due to the integration of sophisticated data analysis techniques, including artificial intelligence (AI) and machine learning (ML), which have significantly enhanced the accuracy and depth of insights available in the real estate market. These technologies enable the aggregation and analysis of large datasets from diverse sources such as property listings, transaction histories, demographic shifts, and economic indicators. The technical foundation of real estate analytics is further strengthened by advancements in cloud computing, which provides the necessary infrastructure for storing and processing vast amounts of data efficiently. Moreover, the development of intuitive dashboards and visualization tools has made these insights more accessible to users, facilitating informed decision-making. The high TRL reflects not just the technical maturity of the underlying technologies but also their proven effectiveness in optimizing property valuation, market trend analysis, and investment risk assessment. As these technologies continue to evolve and adapt to new data sources and analytical methods, real estate analytics remains at the forefront of innovation, driving more nuanced and predictive insights into property markets worldwide.
In the Short-Term, real estate analytics will see significant advancements through the integration of AI and machine learning technologies. These innovations will enable more accurate and faster property valuations, market trend analyses, and investment risk assessments. The use of big data will enhance predictive analytics, allowing for better forecasting of real estate prices and buyer behavior. This phase marks the beginning of a transformative period in how data is utilized for real estate decision-making. Moving into the Mid-Term, the adoption of blockchain technology will revolutionize real estate analytics by introducing greater transparency and security to transactions and data sharing. Smart contracts will automate and streamline processes, reducing the need for intermediaries and lowering costs. Augmented and virtual reality technologies will become more prevalent, offering detailed and immersive property visualizations that aid in investment and development decisions. This period will witness a shift towards more interactive and user-friendly analytic platforms. In the Long-Term, the convergence of Internet of Things (IoT) devices and real estate analytics will lead to the creation of smart buildings and cities. Real-time data collection from various sensors will offer unprecedented insights into property usage, energy consumption, and environmental impacts. This integration will facilitate the development of sustainable and efficient urban planning strategies, ultimately transforming the landscape of real estate investment and management. The long-term phase will be characterized by a focus on sustainability and the optimization of living and working spaces.
Some interesting questions that has been asked about the results you have just received for Real Estate Analytics
What are related technologies to Real Estate Analytics?
Based on our calculations related technologies to Real Estate Analytics are Big Data, E-Health, Retail Tech, Artificial Intelligence & Machine Learning, E-Commerce
Who are Start-Ups in the field of Real Estate Analytics?
Start-Ups who are working in Real Estate Analytics are Capitol Analytics - CRE Analytics & Advisory
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Qlarity Ltd,
7Square,
Market StadiumWhich industries are mostly working on Real Estate Analytics?
The most represented industries which are working in Real Estate Analytics are Real Estate, Information Technology, Software, Data and Analytics, Financial Services
How does ensun find these Real Estate Analytics Companies?
ensun uses an advanced search and ranking system capable of sifting through millions of companies and hundreds of millions of products and services to identify suitable matches. This is achieved by leveraging cutting-edge technologies, including Artificial Intelligence.
