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The Real Estate CRM
Doha, Qatar
C
1-10 Employees
2017
Key takeaway
The company offers a comprehensive property management software that includes features for property analytics and effective data analysis, making it a valuable tool for enhancing property sales and tenant experiences. With a focus on improving IT stability and performance, their platform supports various aspects of real estate management.
Reference
Product
Property Analytics - The Real Estate CRM!
Realty Invest Network
Ikota, Nigeria
E
251-500 Employees
-
Key takeaway
REALTY INVEST NETWORK SOLUTIONS LTD operates a comprehensive real estate business model that integrates various elements such as realtech and crowdfunding, enhancing their ability to deliver exceptional results in the real estate sector. Additionally, they emphasize a strategic approach to real estate investment, providing professionals with the tools to make informed decisions about their assets.
Reference
Product
Data Analytics – Realty Invest Network
Weiss Analytics
Natick, United States
B
1-10 Employees
2015
Key takeaway
Weiss Analytics specializes in advanced real estate analytics, offering innovative products such as house-specific home price indexes and automated valuation models. Their expertise in repeat sales home price indexes significantly enhances market analysis resolution.
Reference
Core business
Home | Weiss Analytics | Home Investor And Lender Tools
Weiss Analytics is a pioneer in next generation home price analytics. We produce house specific home price indexes; automated home valuation products for the web; and provide custom residential research and advisory services to the industry. Building on our unique expertise in repeat sales home price indexes, we have increased the resolution of market analysis by nearly 10,000-fold.
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Real Estate Analytics (8PROP)
Singapore
C
51-100 Employees
2019
Key takeaway
The company, 8PROP Property Intelligence, offers real estate market trends and high-quality property insights, empowering buyers and renters to make informed, data-backed decisions.
Reference
Core business
8PROP Property Intelligence
7Square
Montreal, Canada
A
1-10 Employees
2020
Key takeaway
The company offers a comprehensive set of analytics and data specifically for real estate, including information on nearby schools, enabling clients to make informed decisions. Their focus on integrating advanced analytics with artificial intelligence highlights their commitment to providing valuable insights in the real estate market.
Reference
Core business
7Square: Real Estate Analytics & Insights
Estate Intel
Lagos, Nigeria
E
1-10 Employees
2014
Key takeaway
The company offers extensive real estate analytics through Africa’s largest database of historic property prices and vacancy rates, providing businesses with the intelligence needed to make informed decisions in property development, buying, or renting. Their comprehensive APIs and subscription services deliver real-time access to valuable market insights and reports, empowering users to effectively track and forecast real estate trends in Africa.
Reference
Core business
Real Estate Market Research and Data for Nigerian and Africa
Restb.ai
Barcelona, Spain
A
11-50 Employees
2015
Key takeaway
Restb.ai is a leading provider of visual insights in the real estate sector, utilizing AI and technology to enhance property marketing and appraisal processes. Their innovative solutions offer unique and actionable data derived from property imagery, unlocking new opportunities for real estate professionals.
Reference
Core business
Restb.ai
Restb.ai is real estate's leading provider of visual insights. We provide companies with property intelligence built on computer vision and AI
Realinflo
Hong Kong Island, China
D
1-10 Employees
2017
Key takeaway
Realinflo is positioning itself as a leading real estate data and analytics platform in the Asia-Pacific region, offering high-quality, granular data that is cross-checked by industry experts. This streamlined access to comprehensive transactions and buildings databases enables real estate professionals to make informed, data-driven decisions efficiently.
Reference
Core business
Home - Realinflo
Make data-driven real estate decisions with the industry's most comprehensive transactions and buildings database platform in Asia
PriceHubble
Zurich, Switzerland
A
101-250 Employees
2016
Key takeaway
The company, PriceHubble, specializes in innovative technology that transforms residential real estate through data-driven valuation and insights. Their Property Analyser tool empowers real estate and finance professionals to quickly evaluate and analyze properties, enhancing customer experiences and supporting growth in acquisition and conversion.
Reference
Product
Property Analyser - Value and analyse your properties
Property Analyser gives real estate and finance professionals the opportunity to value and analyse their investment in just a few clicks.
Proptech Analytics Limited
London, United Kingdom
A
1-10 Employees
2018
Key takeaway
Proptech Analytics specializes in data analysis and visualization to enhance property development insights. Their software provides a standardized approach to assess development risks, track financial performance, and create interactive reports, which is crucial for appraising and monitoring real estate projects.
Reference
Core business
PropTech Analytics | Creates clear and intuitive solutions to visualise property and construction data.
Creates clear and intuitive solutions to visualise property and construction data
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Real estate analytics involves the use of data analysis and statistical techniques to gain insights into the real estate market. This field combines various data sources, such as property values, market trends, and economic indicators, to help investors, developers, and real estate professionals make informed decisions. By leveraging advanced analytics tools, users can identify patterns, forecast future market conditions, and optimize investment strategies. Integrating geographic information systems (GIS) with data analytics further enhances the ability to visualize and interpret spatial data related to property locations and market dynamics.
Real estate analytics leverages data to provide valuable insights that significantly enhance property investment decisions. By analyzing trends in property values, rental yields, and market demand, investors can identify lucrative opportunities and mitigate risks. Moreover, advanced analytics tools can evaluate factors such as location demographics, economic indicators, and historical sales data, offering a comprehensive view of potential investments. This data-driven approach enables investors to make informed choices, ensuring better returns on their property investments while aligning with market dynamics.
Real estate analytics relies on a variety of data sources to provide comprehensive insights. Public Records These include property deeds, tax assessments, and ownership records, which offer fundamental information about properties and ownership history. MLS Data Multiple Listing Service (MLS) data is invaluable as it contains detailed information on properties for sale or rent, including pricing, features, and sales history. Market Reports Reports from real estate firms and market analysts contribute essential data on market trends, pricing forecasts, and demographic information, helping to inform investment decisions. Economic Indicators Data on interest rates, employment rates, and economic growth also play a crucial role in evaluating real estate markets, as they impact buyer behavior and market demand. Social Media and Online Platforms Insights from social media and property listing websites can reveal consumer sentiment and market activity, providing a modern perspective on real estate dynamics.
Real estate analytics plays a crucial role in risk management by providing valuable insights into market trends and property performance. By analyzing data such as historical prices, occupancy rates, and demographic information, investors and developers can identify potential risks associated with property investments. Additionally, predictive analytics can forecast market fluctuations, enabling stakeholders to make informed decisions based on reliable data. This proactive approach helps in mitigating risks related to market downturns, ensuring better asset management and strategic planning for future developments.
1. Data Integration
Look for tools that seamlessly integrate various data sources, such as market trends, property values, and demographic information. This integration allows for comprehensive analysis and informed decision-making.
2. Visualization Capabilities
Effective real estate analytics tools should offer robust visualization features. These allow users to easily interpret complex data through charts, graphs, and maps, facilitating better insights into market conditions.
3. Predictive Analytics
Choose platforms that include predictive analytics capabilities. These features help forecast future trends based on historical data, enabling users to anticipate market movements and make strategic investments.
4. Custom Reporting
The ability to generate custom reports tailored to specific needs is crucial. Look for tools that allow users to create reports that focus on the metrics and insights most relevant to their objectives.
5. User-Friendly Interface
A user-friendly interface enhances the experience, making it easier for users of all skill levels to navigate the tool. Intuitive design helps in quick data access and effective analysis without extensive training.
Some interesting numbers and facts about your company results for Real Estate Analytics
| Country with most fitting companies | United States |
| Amount of fitting manufacturers | 2748 |
| Amount of suitable service providers | 6531 |
| Average amount of employees | 1-10 |
| Oldest suiting company | 2014 |
| Youngest suiting company | 2020 |
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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 7Square
Which industries are mostly working on Real Estate Analytics?
The most represented industries which are working in Real Estate Analytics are Real Estate, IT, Software and Services, Other, Finance and Insurance, Marketing 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.
