The real estate sector, for the most part not well known to be technology intensive. That nature soon, but may disappear. data analysis is transforming the way real estate companies, customers
and financial institutions doing business in this industry.
Create additional value
traditional ownership of the data becomes a commodity. Anyone with an Internet connection can access basic information on the market and properties. Real estate companies must offer added value through highly customized solutions.
data analysis could transform the way the real estate industry meets the needs of its customers. For example, this can make a business of commercial real estate when your customer wants to move to a new office space? Traditionally, the company would take into account factors such as the budget, the preferred location and space to arrive at a list of recommendations. But if the company can help solve more business challenges for customers as well?
One of the main challenges for companies today is to recruit and retain top talent. So the customer would probably prefer a location that is more convenient for all employees. Employees can enter their data localization homes movements "throughout a typical workday. These data can be used for analysis, mapping space. The result is an office space solution with optimized location for employee travel. The new office would potentially bring additional value to attract and retain great talent for the customer.
Make smarter decisions
The real estate market has a great set of millions of property data and individual potential buyers and sellers. In addition, there are many metadata for each property and the client. Digging through the raw data which will give businesses the competitive advantage. Armed companies with advanced data analysis can remain competitive through the use of data to find useful ideas that enable executives to make strategic decisions smarter investment, financial management, sales and marketing, purchasing, etc.
The financial aspect of the real estate industry has already taken data analysis to help investors and financial institutions to make better decisions. Banks have become much better understanding of the value of the foreclosed properties they were doing. Assessment of risk of progressing algorithms provide a more accurate assessment of properties.
data analysis allows the perception of consumers that were previously unthinkable. It is able to present a clearer picture of who buys what, when, where, why and how. More importantly, you can predict who will buy or sell their homes in the near future. These capabilities could radically change the way real estate companies approach their clients. Instead of trying to reach a wider audience, businesses can target specific individuals who are most likely to be your customers.
Form individual customers
advanced analytical benefits, not only for real estate companies, but also to individuals. a level of transparency and availability of data for buyers and sellers unprecedented is created. For example, owners could be provided with information on the potential value of their properties and the trend in the future.
real estate companies that are still doing business in traditional forms may be intimidated by this transparency. However, buying a home is one of the most expensive and personal transactions that people make in their lives. Companies that can make the process easier and more informative are more likely to win customers and increase sales.
Increase Online Visibility
The Internet has become a favorite for individual guests to find real estate destination. As a result, real estate agents and professionals must be more visible online, and more aggressive tactics obsolete sale and advertising campaigns. data analysis allows agents to understand what visitors are in their online searches. More importantly, today's advanced analysis can provide useful information in real time to adjust almost daily organic or paid efforts.
Business Intelligence (BI) and Enterprise Performance Management (EPM) applications with integrated analysis capabilities allow businesses to make the most of your data. For more information on how the analysis of business intelligence and data could transform your business today, please download the document "Moving to reactive - meaning business intelligence today" .
http://www.annonces.immo-reve.com/
https://www.facebook.com/immo.reve.tn
Create additional value
traditional ownership of the data becomes a commodity. Anyone with an Internet connection can access basic information on the market and properties. Real estate companies must offer added value through highly customized solutions.
data analysis could transform the way the real estate industry meets the needs of its customers. For example, this can make a business of commercial real estate when your customer wants to move to a new office space? Traditionally, the company would take into account factors such as the budget, the preferred location and space to arrive at a list of recommendations. But if the company can help solve more business challenges for customers as well?
One of the main challenges for companies today is to recruit and retain top talent. So the customer would probably prefer a location that is more convenient for all employees. Employees can enter their data localization homes movements "throughout a typical workday. These data can be used for analysis, mapping space. The result is an office space solution with optimized location for employee travel. The new office would potentially bring additional value to attract and retain great talent for the customer.
Make smarter decisions
The real estate market has a great set of millions of property data and individual potential buyers and sellers. In addition, there are many metadata for each property and the client. Digging through the raw data which will give businesses the competitive advantage. Armed companies with advanced data analysis can remain competitive through the use of data to find useful ideas that enable executives to make strategic decisions smarter investment, financial management, sales and marketing, purchasing, etc.
The financial aspect of the real estate industry has already taken data analysis to help investors and financial institutions to make better decisions. Banks have become much better understanding of the value of the foreclosed properties they were doing. Assessment of risk of progressing algorithms provide a more accurate assessment of properties.
data analysis allows the perception of consumers that were previously unthinkable. It is able to present a clearer picture of who buys what, when, where, why and how. More importantly, you can predict who will buy or sell their homes in the near future. These capabilities could radically change the way real estate companies approach their clients. Instead of trying to reach a wider audience, businesses can target specific individuals who are most likely to be your customers.
Form individual customers
advanced analytical benefits, not only for real estate companies, but also to individuals. a level of transparency and availability of data for buyers and sellers unprecedented is created. For example, owners could be provided with information on the potential value of their properties and the trend in the future.
real estate companies that are still doing business in traditional forms may be intimidated by this transparency. However, buying a home is one of the most expensive and personal transactions that people make in their lives. Companies that can make the process easier and more informative are more likely to win customers and increase sales.
Increase Online Visibility
The Internet has become a favorite for individual guests to find real estate destination. As a result, real estate agents and professionals must be more visible online, and more aggressive tactics obsolete sale and advertising campaigns. data analysis allows agents to understand what visitors are in their online searches. More importantly, today's advanced analysis can provide useful information in real time to adjust almost daily organic or paid efforts.
Business Intelligence (BI) and Enterprise Performance Management (EPM) applications with integrated analysis capabilities allow businesses to make the most of your data. For more information on how the analysis of business intelligence and data could transform your business today, please download the document "Moving to reactive - meaning business intelligence today" .
http://www.annonces.immo-reve.com/
https://www.facebook.com/immo.reve.tn
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