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Technology

Home ownership is everyone’s dream. We spend a lot of time finding the best property for us. Consequently, it is one of the crucial decisions of our lives.

Real estate clients have enormous needs for as many insights as possible. In other words, they want to acknowledge the surrounding, transportation, to compare it with other options, find out the nearest mall, kindergarten or school.

Home key | New home| A man giving a new home key to a owner| real estate buyer

Real estate challenges

Real estate businesses are developing globally. Real estate industry, like other markets, faces a lot of real estate challenges. Interestingly, here are some of the substantial real estate challenges; to decrease the risk of buying a wrong property, to cut time of finding the right home, to develop a practical business approach, and to come to a buying decision easier. Most importantly, for investors, it’s important to make sure, that they invest in the right property, which represents the real value of its advertisement.


World leading real estate companies has already accepted the challenge of using new and innovative technologies, which is, in fact, the need of your customer in a contemporary market.


Most discussed tech challenges for real estate are A/B testing, machine learning, business intelligence (BI), and cloud computing. Big Data and analyses are changing all the imagination about real estate challenges.

 

What does big data mean for real estate data visualization?

Big data is a large volume of structured and unstructured data. Big data is usually collected from a large amount of information. The information often comes from the recent analysis.

The other interpretation of Big Data is Business Intelligence, which uses statistics to measure items and find out new trends.

Data visualization can help real estate companies track the actions, assess risks, optimize the process, analyze, and get the visualization of GEO analytics.


Why visualize real estate data?

Visualized Data has a lot of benefits for real estates.  Real estate data analyzing is an essential factor when buying or renting the most desired property.

BI helps us get visualized context which is more straightforward for an eye for obtaining the information. It shows infographics, charts, pies, as well as maps.

This is a de facto standard for modern business intelligence (BI)

It Cuts Your time

A watch in a hand. Drinking a cup of coffee. ofee

WIth data, you reduce your agents and brokers time, and the money You need to pay them for finding the best home for customers. Sometimes the process takes a long time. For example, the price for a car to accompany your home buyers for the first view. You can have all AI data of the view from the house, the malls, the kindergartens. With data visualization, the buyers will get all the answers regarding the property. If a buyer doesn’t have any interest in it, you will not visit the house. If you’re a realtor, you’ll evaluate, that this is a time-consuming process, and cutting down this, undoubtedly, is beneficial. You will make sure that you don’t wast your time for the wrong options.

Personalized experience

Losing one real estate buyer will cost too much for your company than paying a company to create Mapbox for You. If you don’t give personalized experience, there is a lot of chances to lose the potential client.

Now it’s easy for you to create software that can help your customers reveal their expectations and housing aspirations, as well as to uncover the types of ideal buyers. As a result, this will help you improve your targeted marketing.

It makes Your realtors’ life easier

Salesman | Sales manager | A businessman sitting at the office with notebook|

Does the house have a garden? Whats the facade like? Is it close to a bus station or a subway? We know how it feels, and sometimes you are becoming tired of these questions. It’s better to show the property than to speak about something intangible. Your customers and brokers will appreciate your care. 

 

Be an innovative real estate agency

Innovation | Innovative lamps| Innovative real estate

In the contemporary market place, businesses are dying without taking the chance to innovate their approach. Real estate numbers are increasingly growing, and the ones who are innovative will survive, unlike the others who are doing dinosaur marketing.

It reduces financial risks

Data visualization helps real estates to track investment details. For example, it’s easy to find out whether the home repaired recently or not, to uncover the status of loans and investment.

FIlters and comparisons

Sometimes it’s hard for customers to remember all the aspects of the home they have seen. Their lousy experience of recognizing the ideal house for them will turn into disappointment. Data visualization will help you always compare each aspect and find the best set of variables for the client. For example, if John wants to buy a house he can view the prices of properties which are located on street X, he can compare it with the features in Y location. He can see the pros and cons of these houses. Also, the homes in X location are cheaper, but they are way more far from the station, consequently, but this one has a beautiful balcony in comparison with the houses of Y location.

 

The importance of data visualization tools?

Data Visualization | BI-business intelligence| Data on A notebook screen

Digital Map market revenue is projected to grow in a short period. The reason for this is that smartphones, and other mobile devices or navigation tools have their specific role in each aspect of our life.

Data visualization tools are essential for getting analyses, data-driven insights for the workers through organizations. Data visualization software also plays a vital role in big data and advanced analytics projects.

Visualization software is based on customers behavior and needs. It helps them find their desired home. They can discover how many bedrooms it has, what the neighborhood looks like, does it feel like their home?

 

What is the best data visualization technology?

The most common Data Visualization software which is excellent for maps is the combination of Mapbox and Deck.gl.

What is Mapbox

Mapbox is a solid provider of the best online maps for websites and applications. First of all, It helps developers to create smooth, fast, on the other hand, its a real-time map. It includes more than 130 multi validated sources for a world map. Map APIs get 5 billion requests per day. A dozen templates are available for you to choose.

Data visualization example for real estate. What is data visualization? Real estate mapbox.

What is Deck.gl


This is a data visualization tool. Many web applications, like Uber, are based on it. Above all, Deck.gl is created with React JavaScript library. 

Deck.gl data visualizatiom

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The article is written by Gayaene Melkumyan

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